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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

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

Learn more

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Learn more

Everything you need to run AI in production

A complete platform for document intelligence and workflows

Features

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Features

Your Entire Tech Stack, Perfectly Connected

1,000+ Integrations Across Your Entire Stack

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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.

Your Entire Tech Stack, Perfectly Connected

1,000+ Integrations Across Your Entire Stack

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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.

Your Entire Tech Stack, Perfectly Connected

1,000+ Integrations Across Your Entire Stack

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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.

Your Entire Tech Stack, Perfectly Connected

1,000+ Integrations Across Your Entire Stack

Logo
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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.

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.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

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.

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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.

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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.

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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.

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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.

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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.

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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.