90% less manual formatting
AI Data Formatting Agent
Clean data in seconds, not hours
Stop wasting time on manual data transformation. This specialized AI agent takes messy, inconsistent data from any source and automatically converts it into clean, standardized formats ready for analysis, integration, or reporting.

Ideal for
Data Analysts
Operations Teams
Finance Teams

See AI Data Formatting Agent in action
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See AI Data Formatting Agent in action
Play video

See AI Data Formatting Agent in action
Play video

Quarterly Data Consolidation
See AI Data Formatting Agent in action
Play video
Time comparison
Time comparison
Traditional way
4-8 hours per dataset
With V7 Go agents
5-10 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Multi-Format Conversion
Converts data between any format—Excel to CSV, JSON to XML, databases to spreadsheets—without losing information or requiring manual re-entry.
Multi-Format Conversion
Converts data between any format—Excel to CSV, JSON to XML, databases to spreadsheets—without losing information or requiring manual re-entry.
Multi-Format Conversion
Converts data between any format—Excel to CSV, JSON to XML, databases to spreadsheets—without losing information or requiring manual re-entry.
Multi-Format Conversion
Converts data between any format—Excel to CSV, JSON to XML, databases to spreadsheets—without losing information or requiring manual re-entry.
Automatic Field Standardization
Normalizes inconsistent data types, date formats, currency values, and naming conventions across your entire dataset in a single pass.
Automatic Field Standardization
Normalizes inconsistent data types, date formats, currency values, and naming conventions across your entire dataset in a single pass.
Automatic Field Standardization
Normalizes inconsistent data types, date formats, currency values, and naming conventions across your entire dataset in a single pass.
Automatic Field Standardization
Normalizes inconsistent data types, date formats, currency values, and naming conventions across your entire dataset in a single pass.
Duplicate Detection & Removal
Identifies and removes duplicate records, partial matches, and redundant entries while preserving data integrity and audit trails.
Duplicate Detection & Removal
Identifies and removes duplicate records, partial matches, and redundant entries while preserving data integrity and audit trails.
Duplicate Detection & Removal
Identifies and removes duplicate records, partial matches, and redundant entries while preserving data integrity and audit trails.
Duplicate Detection & Removal
Identifies and removes duplicate records, partial matches, and redundant entries while preserving data integrity and audit trails.
Schema Mapping & Validation
Maps source data to your target schema, validates against business rules, and flags records that don't meet your standards for review.
Schema Mapping & Validation
Maps source data to your target schema, validates against business rules, and flags records that don't meet your standards for review.
Schema Mapping & Validation
Maps source data to your target schema, validates against business rules, and flags records that don't meet your standards for review.
Schema Mapping & Validation
Maps source data to your target schema, validates against business rules, and flags records that don't meet your standards for review.
Batch Processing at Scale
Processes thousands of records simultaneously, handling large datasets and complex transformations that would take teams days to complete manually.
Batch Processing at Scale
Processes thousands of records simultaneously, handling large datasets and complex transformations that would take teams days to complete manually.
Batch Processing at Scale
Processes thousands of records simultaneously, handling large datasets and complex transformations that would take teams days to complete manually.
Batch Processing at Scale
Processes thousands of records simultaneously, handling large datasets and complex transformations that would take teams days to complete manually.
Transparent Transformation Log
Provides a complete record of every transformation applied, showing exactly what changed and why, for full auditability and compliance.
Transparent Transformation Log
Provides a complete record of every transformation applied, showing exactly what changed and why, for full auditability and compliance.
Transparent Transformation Log
Provides a complete record of every transformation applied, showing exactly what changed and why, for full auditability and compliance.
Transparent Transformation Log
Provides a complete record of every transformation applied, showing exactly what changed and why, for full auditability and compliance.
Transforms data from any source
Into clean, standardized formats.
Get started
Get started
Import your files
Google Sheets
,
Microsoft Excel
,
Snowflake
Import your files from whereever they are currently stored
All types of Business documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Stop wasting time on data cleanup.
Stop wasting time on data cleanup.
Let AI handle the formatting.
Let AI handle the formatting.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
Read the full story
Industrial equipment sales
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Industrial equipment sales
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Features
Features
Results you can actually trust.
Reliable AI document processing toolkit.
Results you can trust.
Trustworthy AI document processing toolkit.
Supporting any data structure.
From any source.
Data comes from everywhere—legacy systems, cloud platforms, manual entry, API exports. This agent handles messy, inconsistent data regardless of source or format. It adapts to your unique data structures and business rules.
Input types
Multiple Formats
Nested Structures
Large Datasets
Custom Rules
Document types
Spreadsheets
Databases
JSON
XML
APIs
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting any data structure.
From any source.
Data comes from everywhere—legacy systems, cloud platforms, manual entry, API exports. This agent handles messy, inconsistent data regardless of source or format. It adapts to your unique data structures and business rules.
Input types
Multiple Formats
Nested Structures
Large Datasets
Custom Rules
Document types
Spreadsheets
Databases
JSON
XML
APIs
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting any data structure.
From any source.
Data comes from everywhere—legacy systems, cloud platforms, manual entry, API exports. This agent handles messy, inconsistent data regardless of source or format. It adapts to your unique data structures and business rules.
Input types
Multiple Formats
Nested Structures
Large Datasets
Custom Rules
Document types
Spreadsheets
Databases
JSON
XML
APIs
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through intelligent validation.
Data quality is non-negotiable. This agent uses multi-step validation to ensure every field meets your standards. It catches inconsistencies, flags anomalies, and maintains data integrity throughout the transformation process.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through intelligent validation.
Data quality is non-negotiable. This agent uses multi-step validation to ensure every field meets your standards. It catches inconsistencies, flags anomalies, and maintains data integrity throughout the transformation process.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through intelligent validation.
Data quality is non-negotiable. This agent uses multi-step validation to ensure every field meets your standards. It catches inconsistencies, flags anomalies, and maintains data integrity throughout the transformation process.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Trustworthy transformations,
fully documented.
Every transformation is logged and auditable. You can see exactly what changed, why it changed, and trace any value back to its original source. Complete transparency for compliance and verification.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Trustworthy transformations,
fully documented.
Every transformation is logged and auditable. You can see exactly what changed, why it changed, and trace any value back to its original source. Complete transparency for compliance and verification.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Trustworthy transformations,
fully documented.
Every transformation is logged and auditable. You can see exactly what changed, why it changed, and trace any value back to its original source. Complete transparency for compliance and verification.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Enterprise grade security
for sensitive data.
Your data is your most valuable asset. V7 Go processes all transformations within your secure environment, adhering to strict data privacy standards. Your information is never shared or used for external purposes.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for sensitive data.
Your data is your most valuable asset. V7 Go processes all transformations within your secure environment, adhering to strict data privacy standards. Your information is never shared or used for external purposes.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for sensitive data.
Your data is your most valuable asset. V7 Go processes all transformations within your secure environment, adhering to strict data privacy standards. Your information is never shared or used for external purposes.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
More agents
More agents
Explore more agents to help you
Explore more agents to help you
accelerate your data and analytics workflows
More agents
Answers
Answers
What you need to know about our
AI Data Formatting Agent
What data formats can it handle?
The agent works with virtually any data format: Excel, CSV, JSON, XML, SQL databases, Google Sheets, Salesforce exports, and more. It can also handle semi-structured data like PDFs and images containing tables.
+
What data formats can it handle?
The agent works with virtually any data format: Excel, CSV, JSON, XML, SQL databases, Google Sheets, Salesforce exports, and more. It can also handle semi-structured data like PDFs and images containing tables.
+
What data formats can it handle?
The agent works with virtually any data format: Excel, CSV, JSON, XML, SQL databases, Google Sheets, Salesforce exports, and more. It can also handle semi-structured data like PDFs and images containing tables.
+
How does it know what transformations to apply?
You define your target schema and business rules once in your Knowledge Hub. The agent then applies these rules consistently across all future data transformations, ensuring standardization without manual intervention.
+
How does it know what transformations to apply?
You define your target schema and business rules once in your Knowledge Hub. The agent then applies these rules consistently across all future data transformations, ensuring standardization without manual intervention.
+
How does it know what transformations to apply?
You define your target schema and business rules once in your Knowledge Hub. The agent then applies these rules consistently across all future data transformations, ensuring standardization without manual intervention.
+
Can it handle complex data relationships?
Yes. The agent can map relationships between tables, join datasets, and maintain referential integrity. It understands hierarchical data structures and can flatten or restructure data as needed.
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Can it handle complex data relationships?
Yes. The agent can map relationships between tables, join datasets, and maintain referential integrity. It understands hierarchical data structures and can flatten or restructure data as needed.
+
Can it handle complex data relationships?
Yes. The agent can map relationships between tables, join datasets, and maintain referential integrity. It understands hierarchical data structures and can flatten or restructure data as needed.
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What happens to data quality issues?
The agent flags records that don't meet your validation rules and creates a separate report for review. You decide whether to correct, exclude, or override these records before final export.
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What happens to data quality issues?
The agent flags records that don't meet your validation rules and creates a separate report for review. You decide whether to correct, exclude, or override these records before final export.
+
What happens to data quality issues?
The agent flags records that don't meet your validation rules and creates a separate report for review. You decide whether to correct, exclude, or override these records before final export.
+
How fast does it process large datasets?
Processing speed depends on dataset size and transformation complexity, but most datasets of 100,000+ records are handled in minutes. The agent scales automatically to handle your volume.
+
How fast does it process large datasets?
Processing speed depends on dataset size and transformation complexity, but most datasets of 100,000+ records are handled in minutes. The agent scales automatically to handle your volume.
+
How fast does it process large datasets?
Processing speed depends on dataset size and transformation complexity, but most datasets of 100,000+ records are handled in minutes. The agent scales automatically to handle your volume.
+
Is the transformation process auditable?
Completely. Every transformation is logged with timestamps, rule references, and before/after comparisons. You can trace any data point back to its original source and see exactly what changed.
+
Is the transformation process auditable?
Completely. Every transformation is logged with timestamps, rule references, and before/after comparisons. You can trace any data point back to its original source and see exactly what changed.
+
Is the transformation process auditable?
Completely. Every transformation is logged with timestamps, rule references, and before/after comparisons. You can trace any data point back to its original source and see exactly what changed.
+
Next steps
Next steps
Tired of manual data formatting?
Send us a sample of your messiest dataset, and we'll show you how our agent transforms it in minutes.
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: