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V7 vs. Google Document AI
V7 vs. Google Document AI
V7 vs. Google Document AI
Searching for a Google Document AI alternative?
Searching for a Google Document AI alternative?
Searching for a Google Document AI alternative?
Evaluating Google Document AI as a document processing platform
Evaluating Google Document AI as a document processing platform
V7
vs.

V7
vs.

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Why choose V7 over Google Document AI?
Both platforms process enterprise documents, with Google focusing on OCR extraction and V7 Go adding workflow automation with specialized agents.
Overview
Overview
Visual Grounding & Citations
V7 Go traces every extracted data point to its exact source location in documents, providing interactive visual verification that Google Document AI's layout parsing does not offer.
End-to-End Workflow Automation
V7 Go provides specialized AI agents that perform reasoning and decision-making beyond extraction, while Google Document AI focuses primarily on converting documents to structured data.
White-Glove Implementation
V7 Go provides dedicated solution engineers who build custom integrations and design industry-specific agents, whereas Google Document AI relies on self-service APIs and documentation.
Features
Features
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What makes V7 Go the best Google Document AI alternative
Compare document processing and workflow automation capabilities
Features
Features
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V7

Google Document AI
vs.
Document OCR & Extraction
Document OCR & Extraction
Document OCR & Extraction
Document OCR & Extraction
Multimodal document processing with 95-99% accuracy across PDFs, images, and Office formats
Multimodal document processing with 95-99% accuracy across PDFs, images, and Office formats
V7
Multimodal document processing with 95-99% accuracy across PDFs, images, and Office formats
Multimodal document processing with 95-99% accuracy across PDFs, images, and Office formats
Enterprise OCR with custom extractors, form parsers, and layout analyzers at scale
Enterprise OCR with custom extractors, form parsers, and layout analyzers at scale
Google Document AI
Enterprise OCR with custom extractors, form parsers, and layout analyzers at scale
Enterprise OCR with custom extractors, form parsers, and layout analyzers at scale
Visual Source Verification
AI Citations trace every output to exact source locations with interactive highlighting
AI Citations trace every output to exact source locations with interactive highlighting
V7
AI Citations trace every output to exact source locations with interactive highlighting
AI Citations trace every output to exact source locations with interactive highlighting
Layout parsing available but no interactive source tracing for extracted data points
Layout parsing available but no interactive source tracing for extracted data points
Google Document AI
Layout parsing available but no interactive source tracing for extracted data points
Layout parsing available but no interactive source tracing for extracted data points
Workflow Automation
Specialized AI agents perform extraction, reasoning, and decision-making in complete workflows
Specialized AI agents perform extraction, reasoning, and decision-making in complete workflows
V7
Specialized AI agents perform extraction, reasoning, and decision-making in complete workflows
Specialized AI agents perform extraction, reasoning, and decision-making in complete workflows
Focuses on extraction; workflow automation requires integration with other Google Cloud services
Focuses on extraction; workflow automation requires integration with other Google Cloud services
Google Document AI
Focuses on extraction; workflow automation requires integration with other Google Cloud services
Focuses on extraction; workflow automation requires integration with other Google Cloud services
Human-in-the-Loop Review
Built-in review stages with configurable approval workflows and feedback loops
Built-in review stages with configurable approval workflows and feedback loops
V7
Built-in review stages with configurable approval workflows and feedback loops
Built-in review stages with configurable approval workflows and feedback loops
Must be implemented through custom development with other Google Cloud tools
Must be implemented through custom development with other Google Cloud tools
Google Document AI
Must be implemented through custom development with other Google Cloud tools
Must be implemented through custom development with other Google Cloud tools
Cloud Ecosystem Integration
Integrates with 8,000+ apps via Zapier plus custom legacy system connections
Integrates with 8,000+ apps via Zapier plus custom legacy system connections
V7
Integrates with 8,000+ apps via Zapier plus custom legacy system connections
Integrates with 8,000+ apps via Zapier plus custom legacy system connections
Native integration with Cloud Vision, Natural Language API, BigQuery, and Vertex AI
Native integration with Cloud Vision, Natural Language API, BigQuery, and Vertex AI
Google Document AI
Native integration with Cloud Vision, Natural Language API, BigQuery, and Vertex AI
Native integration with Cloud Vision, Natural Language API, BigQuery, and Vertex AI
Custom Agent Development
Solution engineers design industry-specific agents tailored to your workflows
Solution engineers design industry-specific agents tailored to your workflows
V7
Solution engineers design industry-specific agents tailored to your workflows
Solution engineers design industry-specific agents tailored to your workflows
Custom extractors available through self-service APIs and developer documentation
Custom extractors available through self-service APIs and developer documentation
Google Document AI
Custom extractors available through self-service APIs and developer documentation
Custom extractors available through self-service APIs and developer documentation
Pricing
Pricing
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Pricing
Google Document AI pricing explained
Understanding pay-per-use extraction vs platform-based automation pricing
Features
Features
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Features
V7
V7 Go pricing is structured around a base platform fee that includes access to the V7 platform with AI agents, plus user licenses and data processing charges based on actual usage and use case requirements. The platform offers predictable pricing that scales with document volume, and premium white-glove service includes building custom integrations with legacy systems, designing industry-specific AI agents by expert solution engineers, and providing hands-on implementation support.
V7 Go pricing is structured around a base platform fee that includes access to the V7 platform with AI agents, plus user licenses and data processing charges based on actual usage and use case requirements. The platform offers predictable pricing that scales with document volume, and premium white-glove service includes building custom integrations with legacy systems, designing industry-specific AI agents by expert solution engineers, and providing hands-on implementation support.
Base platform fee plus user licenses and usage-based data processing charges
Base platform fee plus user licenses and usage-based data processing charges
Base platform fee plus user licenses and usage-based data processing charges
Base platform fee plus user licenses and usage-based data processing charges
White-glove service includes custom integrations and specialized agent development
White-glove service includes custom integrations and specialized agent development
White-glove service includes custom integrations and specialized agent development
White-glove service includes custom integrations and specialized agent development
Free proof of concept with your sample documents before commitment
Free proof of concept with your sample documents before commitment
Free proof of concept with your sample documents before commitment
Free proof of concept with your sample documents before commitment

Google Document AI
Google Document AI uses a pay-per-use pricing model with no upfront fees. Enterprise Document OCR costs $1.50 per 1,000 pages for the first 5 million pages monthly, dropping to $0.60 per 1,000 pages above that volume. Custom extractors and Form Parser cost $30 per 1,000 pages at lower volumes, with discounts to $20 per 1,000 pages for higher volumes. Layout Parser is consistently $10 per 1,000 pages. Organizations with high volumes benefit from significant volume discounts.
Google Document AI uses a pay-per-use pricing model with no upfront fees. Enterprise Document OCR costs $1.50 per 1,000 pages for the first 5 million pages monthly, dropping to $0.60 per 1,000 pages above that volume. Custom extractors and Form Parser cost $30 per 1,000 pages at lower volumes, with discounts to $20 per 1,000 pages for higher volumes. Layout Parser is consistently $10 per 1,000 pages. Organizations with high volumes benefit from significant volume discounts.
Pay-per-use model starting at $1.50 per 1,000 pages for OCR processing
Pay-per-use model starting at $1.50 per 1,000 pages for OCR processing
Pay-per-use model starting at $1.50 per 1,000 pages for OCR processing
Pay-per-use model starting at $1.50 per 1,000 pages for OCR processing
Volume discounts available for processing above 5 million pages monthly
Volume discounts available for processing above 5 million pages monthly
Volume discounts available for processing above 5 million pages monthly
Volume discounts available for processing above 5 million pages monthly
No failed request charges for 4xx or 5xx response codes
No failed request charges for 4xx or 5xx response codes
No failed request charges for 4xx or 5xx response codes
No failed request charges for 4xx or 5xx response codes
Comparison
Comparison
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Comparison
Comparing V7 Go and Google Document AI capabilities
Comparing pricing models for document processing at scale
Features
Features
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Features
V7
Enterprise AI automation platform with document workflows
V7 Go is an enterprise AI automation platform that extends document processing into complete workflow automation through specialized AI agents. The platform provides pre-built agents for finance, legal, insurance, and real estate that handle extraction, analysis, and decision-making tasks. V7 Go features visual grounding that traces every output to its source document location, creating audit trails for regulated industries. The platform supports 1M+ token context windows for large document bundles and achieves 95-99% accuracy on extraction benchmarks. White-glove service includes solution engineers who build custom integrations with legacy systems and design industry-specific agents.

Google Document AI
Cloud-based document extraction and OCR platform
Google Document AI is a cloud-based document processing solution that converts unstructured content into structured data. The platform offers Enterprise Document OCR, custom extractors, form parsers, and layout analyzers that handle PDFs, images, and Microsoft Office documents. Pricing follows a pay-per-use model starting at $1.50 per 1,000 pages for OCR, with volume discounts for high-throughput processing. Google Document AI integrates natively with Cloud Vision, Natural Language API, BigQuery, and Vertex AI, making it particularly appealing for organizations already invested in the Google Cloud ecosystem seeking scalable document digitization.
Testimonials
Testimonials
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Testimonials
Trusted by teams shipping AI to production
What customers say after choosing V7 Go
Features
Features
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Features
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Integrate with 2000+ apps and services
Connect your favorite apps:
Connect your favorite apps:
Connect your favorite apps:
Using V7 Go to automate our diligence process led to a 35% productivity increase.
Centerline
Using V7 Go to automate our diligence process led to a 35% productivity increase.
Centerline
Using V7 Go to automate our diligence process led to a 35% productivity increase.
Centerline
The experience with V7 has been fantastic. Very customized level of support.
Alaris
The experience with V7 has been fantastic. Very customized level of support.
Alaris
The experience with V7 has been fantastic. Very customized level of support.
Alaris
V7 enables us to process complex documents at scale through an intuitive and powerful UI
Pinsent Masons
V7 enables us to process complex documents at scale through an intuitive and powerful UI
Pinsent Masons
V7 enables us to process complex documents at scale through an intuitive and powerful UI
Pinsent Masons
V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .
Star Mountain
V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .
Star Mountain
V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .
Star Mountain
Using V7 Go to automate our diligence process led to a 35% productivity increase.
Centerline
The experience with V7 has been fantastic. Very customized level of support.
Alaris
V7 enables us to process complex documents at scale through an intuitive and powerful UI
Pinsent Masons
V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .
Star Mountain
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Everything you need to run AI in production
A complete platform for document intelligence and workflows
Features
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Features
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work





Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work





Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work





Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work





Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
Features
Get started
Features
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Index Knowledge
All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Index Knowledge
All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Index Knowledge
All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Index Knowledge
All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
FAQs
FAQs
FAQs
FAQs
Have questions?
Find answers.
Have questions?
Find answers.
Have questions?
Find answers.
How does V7 Go's approach to document processing differ from Google Document AI?
Google Document AI focuses on converting unstructured documents into structured data through OCR, form parsing, and layout analysis, serving as an extraction engine within the Google Cloud ecosystem. V7 Go extends beyond extraction to provide end-to-end workflow automation through specialized AI agents that perform reasoning, analysis, and decision-making tasks. While Google Document AI outputs structured data that requires additional processing, V7 Go's agents can complete entire workflows including human review stages and integration with business systems.
+
What is visual grounding and why does it matter for document processing?
Visual grounding, which V7 Go calls AI Citations, traces every extracted data point back to its exact location in the source document with interactive highlighting. This creates an audit trail required for compliance with SOX, HIPAA, FDA, and KYC/AML regulations. Google Document AI provides layout parsing that identifies document structure, but does not offer the same interactive source attribution that allows users to verify and audit AI outputs. For regulated industries in finance, insurance, and legal, visual grounding is essential for proving data provenance.
+
Which platform is better for organizations already using Google Cloud?
Google Document AI integrates natively with Cloud Vision, Natural Language API, BigQuery, and Vertex AI, making it a natural choice for organizations deeply invested in Google Cloud infrastructure. However, V7 Go offers cross-platform flexibility with integrations to 8,000+ business applications via Zapier and custom API connections, plus on-premise deployment options. Organizations that need workflow automation beyond extraction, or that use multiple cloud providers and legacy systems, may find V7 Go's broader integration capabilities and white-glove implementation support more suitable for their needs.
+
How do the pricing models compare for high-volume document processing?
Google Document AI uses transparent pay-per-use pricing with significant volume discounts, starting at $1.50 per 1,000 pages for OCR and dropping to $0.60 per 1,000 pages above 5 million pages monthly. This model benefits organizations with predictable, high-volume extraction needs. V7 Go uses a platform fee plus usage-based charges model that includes access to specialized AI agents, workflow automation, and white-glove service. The choice depends on whether you need pure extraction at scale or complete workflow automation with implementation support.
+
What level of technical expertise is required for each platform?
Google Document AI is developer-focused, requiring familiarity with REST APIs, client libraries, and Google Cloud infrastructure to implement and maintain production workflows. Building complete automation solutions typically requires integrating multiple Google Cloud services. V7 Go provides a low-code visual workflow designer accessible to business users and domain experts, with multiple interaction modes including spreadsheet view, workflow designer, and conversational chat interface. V7 Go's white-glove service means solution engineers handle complex integrations, reducing the technical burden on your team.
+
Can V7 Go handle the same document types that Google Document AI processes?
Yes, V7 Go processes the same document formats including PDFs, images, TIFF, and Microsoft Office documents, achieving 95-99% accuracy on extraction benchmarks. V7 Go also supports 1M+ token context windows for analyzing large document bundles and complex multi-page reports. Both platforms handle invoices, contracts, and regulatory documents, but V7 Go adds specialized AI agents for specific industries like finance, insurance, and real estate that understand domain-specific document structures and workflows.
+
How does V7 Go's approach to document processing differ from Google Document AI?
Google Document AI focuses on converting unstructured documents into structured data through OCR, form parsing, and layout analysis, serving as an extraction engine within the Google Cloud ecosystem. V7 Go extends beyond extraction to provide end-to-end workflow automation through specialized AI agents that perform reasoning, analysis, and decision-making tasks. While Google Document AI outputs structured data that requires additional processing, V7 Go's agents can complete entire workflows including human review stages and integration with business systems.
+
What is visual grounding and why does it matter for document processing?
Visual grounding, which V7 Go calls AI Citations, traces every extracted data point back to its exact location in the source document with interactive highlighting. This creates an audit trail required for compliance with SOX, HIPAA, FDA, and KYC/AML regulations. Google Document AI provides layout parsing that identifies document structure, but does not offer the same interactive source attribution that allows users to verify and audit AI outputs. For regulated industries in finance, insurance, and legal, visual grounding is essential for proving data provenance.
+
Which platform is better for organizations already using Google Cloud?
Google Document AI integrates natively with Cloud Vision, Natural Language API, BigQuery, and Vertex AI, making it a natural choice for organizations deeply invested in Google Cloud infrastructure. However, V7 Go offers cross-platform flexibility with integrations to 8,000+ business applications via Zapier and custom API connections, plus on-premise deployment options. Organizations that need workflow automation beyond extraction, or that use multiple cloud providers and legacy systems, may find V7 Go's broader integration capabilities and white-glove implementation support more suitable for their needs.
+
How do the pricing models compare for high-volume document processing?
Google Document AI uses transparent pay-per-use pricing with significant volume discounts, starting at $1.50 per 1,000 pages for OCR and dropping to $0.60 per 1,000 pages above 5 million pages monthly. This model benefits organizations with predictable, high-volume extraction needs. V7 Go uses a platform fee plus usage-based charges model that includes access to specialized AI agents, workflow automation, and white-glove service. The choice depends on whether you need pure extraction at scale or complete workflow automation with implementation support.
+
What level of technical expertise is required for each platform?
Google Document AI is developer-focused, requiring familiarity with REST APIs, client libraries, and Google Cloud infrastructure to implement and maintain production workflows. Building complete automation solutions typically requires integrating multiple Google Cloud services. V7 Go provides a low-code visual workflow designer accessible to business users and domain experts, with multiple interaction modes including spreadsheet view, workflow designer, and conversational chat interface. V7 Go's white-glove service means solution engineers handle complex integrations, reducing the technical burden on your team.
+
Can V7 Go handle the same document types that Google Document AI processes?
Yes, V7 Go processes the same document formats including PDFs, images, TIFF, and Microsoft Office documents, achieving 95-99% accuracy on extraction benchmarks. V7 Go also supports 1M+ token context windows for analyzing large document bundles and complex multi-page reports. Both platforms handle invoices, contracts, and regulatory documents, but V7 Go adds specialized AI agents for specific industries like finance, insurance, and real estate that understand domain-specific document structures and workflows.
+
How does V7 Go's approach to document processing differ from Google Document AI?
Google Document AI focuses on converting unstructured documents into structured data through OCR, form parsing, and layout analysis, serving as an extraction engine within the Google Cloud ecosystem. V7 Go extends beyond extraction to provide end-to-end workflow automation through specialized AI agents that perform reasoning, analysis, and decision-making tasks. While Google Document AI outputs structured data that requires additional processing, V7 Go's agents can complete entire workflows including human review stages and integration with business systems.
+
What is visual grounding and why does it matter for document processing?
Visual grounding, which V7 Go calls AI Citations, traces every extracted data point back to its exact location in the source document with interactive highlighting. This creates an audit trail required for compliance with SOX, HIPAA, FDA, and KYC/AML regulations. Google Document AI provides layout parsing that identifies document structure, but does not offer the same interactive source attribution that allows users to verify and audit AI outputs. For regulated industries in finance, insurance, and legal, visual grounding is essential for proving data provenance.
+
Which platform is better for organizations already using Google Cloud?
Google Document AI integrates natively with Cloud Vision, Natural Language API, BigQuery, and Vertex AI, making it a natural choice for organizations deeply invested in Google Cloud infrastructure. However, V7 Go offers cross-platform flexibility with integrations to 8,000+ business applications via Zapier and custom API connections, plus on-premise deployment options. Organizations that need workflow automation beyond extraction, or that use multiple cloud providers and legacy systems, may find V7 Go's broader integration capabilities and white-glove implementation support more suitable for their needs.
+
How do the pricing models compare for high-volume document processing?
Google Document AI uses transparent pay-per-use pricing with significant volume discounts, starting at $1.50 per 1,000 pages for OCR and dropping to $0.60 per 1,000 pages above 5 million pages monthly. This model benefits organizations with predictable, high-volume extraction needs. V7 Go uses a platform fee plus usage-based charges model that includes access to specialized AI agents, workflow automation, and white-glove service. The choice depends on whether you need pure extraction at scale or complete workflow automation with implementation support.
+
What level of technical expertise is required for each platform?
Google Document AI is developer-focused, requiring familiarity with REST APIs, client libraries, and Google Cloud infrastructure to implement and maintain production workflows. Building complete automation solutions typically requires integrating multiple Google Cloud services. V7 Go provides a low-code visual workflow designer accessible to business users and domain experts, with multiple interaction modes including spreadsheet view, workflow designer, and conversational chat interface. V7 Go's white-glove service means solution engineers handle complex integrations, reducing the technical burden on your team.
+
Can V7 Go handle the same document types that Google Document AI processes?
Yes, V7 Go processes the same document formats including PDFs, images, TIFF, and Microsoft Office documents, achieving 95-99% accuracy on extraction benchmarks. V7 Go also supports 1M+ token context windows for analyzing large document bundles and complex multi-page reports. Both platforms handle invoices, contracts, and regulatory documents, but V7 Go adds specialized AI agents for specific industries like finance, insurance, and real estate that understand domain-specific document structures and workflows.
+
How does V7 Go's approach to document processing differ from Google Document AI?
Google Document AI focuses on converting unstructured documents into structured data through OCR, form parsing, and layout analysis, serving as an extraction engine within the Google Cloud ecosystem. V7 Go extends beyond extraction to provide end-to-end workflow automation through specialized AI agents that perform reasoning, analysis, and decision-making tasks. While Google Document AI outputs structured data that requires additional processing, V7 Go's agents can complete entire workflows including human review stages and integration with business systems.
+
What is visual grounding and why does it matter for document processing?
Visual grounding, which V7 Go calls AI Citations, traces every extracted data point back to its exact location in the source document with interactive highlighting. This creates an audit trail required for compliance with SOX, HIPAA, FDA, and KYC/AML regulations. Google Document AI provides layout parsing that identifies document structure, but does not offer the same interactive source attribution that allows users to verify and audit AI outputs. For regulated industries in finance, insurance, and legal, visual grounding is essential for proving data provenance.
+
Which platform is better for organizations already using Google Cloud?
Google Document AI integrates natively with Cloud Vision, Natural Language API, BigQuery, and Vertex AI, making it a natural choice for organizations deeply invested in Google Cloud infrastructure. However, V7 Go offers cross-platform flexibility with integrations to 8,000+ business applications via Zapier and custom API connections, plus on-premise deployment options. Organizations that need workflow automation beyond extraction, or that use multiple cloud providers and legacy systems, may find V7 Go's broader integration capabilities and white-glove implementation support more suitable for their needs.
+
How do the pricing models compare for high-volume document processing?
Google Document AI uses transparent pay-per-use pricing with significant volume discounts, starting at $1.50 per 1,000 pages for OCR and dropping to $0.60 per 1,000 pages above 5 million pages monthly. This model benefits organizations with predictable, high-volume extraction needs. V7 Go uses a platform fee plus usage-based charges model that includes access to specialized AI agents, workflow automation, and white-glove service. The choice depends on whether you need pure extraction at scale or complete workflow automation with implementation support.
+
What level of technical expertise is required for each platform?
Google Document AI is developer-focused, requiring familiarity with REST APIs, client libraries, and Google Cloud infrastructure to implement and maintain production workflows. Building complete automation solutions typically requires integrating multiple Google Cloud services. V7 Go provides a low-code visual workflow designer accessible to business users and domain experts, with multiple interaction modes including spreadsheet view, workflow designer, and conversational chat interface. V7 Go's white-glove service means solution engineers handle complex integrations, reducing the technical burden on your team.
+
Can V7 Go handle the same document types that Google Document AI processes?
Yes, V7 Go processes the same document formats including PDFs, images, TIFF, and Microsoft Office documents, achieving 95-99% accuracy on extraction benchmarks. V7 Go also supports 1M+ token context windows for analyzing large document bundles and complex multi-page reports. Both platforms handle invoices, contracts, and regulatory documents, but V7 Go adds specialized AI agents for specific industries like finance, insurance, and real estate that understand domain-specific document structures and workflows.
+
Don't wait too long
Don't wait too long
Don't wait too long
Don't wait too long
Move beyond prototypes.
Move beyond prototypes.
Build AI workflows that scale.
Build AI workflows that scale.
With V7, not workarounds.
With V7, not workarounds.
Welcome Go
Welcome Go
Welcome Go
It's time
See how V7 fits your documents, workflows, and compliance needs.





















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