90% fewer manual corrections
AI OCR Correction Agent
From garbled text to reliable data
Delegate OCR quality control to a specialized AI agent. It analyzes scanned documents and extracted text, identifies character misreads and structural errors, and automatically corrects them. The result is clean, trustworthy data that flows seamlessly into your systems without manual intervention.

Ideal for
Data Entry Teams
Document Processing
Finance Operations

See AI OCR Correction Agent in action
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See AI OCR Correction Agent in action
Play video

See AI OCR Correction Agent in action
Play video

Batch OCR Cleanup
See AI OCR Correction Agent in action
Play video
Time comparison
Time comparison
Traditional way
3-5 hours per batch
With V7 Go agents
15-20 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Automatic Character Error Detection
Identifies misread characters, swapped digits, and garbled text by analyzing OCR confidence scores and comparing against contextual patterns. Catches errors that manual review often misses.
Automatic Character Error Detection
Identifies misread characters, swapped digits, and garbled text by analyzing OCR confidence scores and comparing against contextual patterns. Catches errors that manual review often misses.
Automatic Character Error Detection
Identifies misread characters, swapped digits, and garbled text by analyzing OCR confidence scores and comparing against contextual patterns. Catches errors that manual review often misses.
Automatic Character Error Detection
Identifies misread characters, swapped digits, and garbled text by analyzing OCR confidence scores and comparing against contextual patterns. Catches errors that manual review often misses.
Table and Structure Repair
Reconstructs malformed tables, fixes column misalignment, and restores proper row and cell boundaries. Ensures structured data remains intact through the OCR process.
Table and Structure Repair
Reconstructs malformed tables, fixes column misalignment, and restores proper row and cell boundaries. Ensures structured data remains intact through the OCR process.
Table and Structure Repair
Reconstructs malformed tables, fixes column misalignment, and restores proper row and cell boundaries. Ensures structured data remains intact through the OCR process.
Table and Structure Repair
Reconstructs malformed tables, fixes column misalignment, and restores proper row and cell boundaries. Ensures structured data remains intact through the OCR process.
Context-Aware Correction
Uses domain knowledge and your firm's Knowledge Hub to correct errors intelligently. Understands financial terminology, legal language, and industry-specific formats to make contextually appropriate fixes.
Context-Aware Correction
Uses domain knowledge and your firm's Knowledge Hub to correct errors intelligently. Understands financial terminology, legal language, and industry-specific formats to make contextually appropriate fixes.
Context-Aware Correction
Uses domain knowledge and your firm's Knowledge Hub to correct errors intelligently. Understands financial terminology, legal language, and industry-specific formats to make contextually appropriate fixes.
Context-Aware Correction
Uses domain knowledge and your firm's Knowledge Hub to correct errors intelligently. Understands financial terminology, legal language, and industry-specific formats to make contextually appropriate fixes.
Batch Processing at Scale
Processes hundreds of scanned documents simultaneously, correcting errors across entire batches in minutes. Eliminates the bottleneck of manual document-by-document review.
Batch Processing at Scale
Processes hundreds of scanned documents simultaneously, correcting errors across entire batches in minutes. Eliminates the bottleneck of manual document-by-document review.
Batch Processing at Scale
Processes hundreds of scanned documents simultaneously, correcting errors across entire batches in minutes. Eliminates the bottleneck of manual document-by-document review.
Batch Processing at Scale
Processes hundreds of scanned documents simultaneously, correcting errors across entire batches in minutes. Eliminates the bottleneck of manual document-by-document review.
Confidence Scoring and Flagging
Assigns confidence scores to each correction and flags uncertain changes for human review. Gives you control over which corrections are applied automatically and which require approval.
Confidence Scoring and Flagging
Assigns confidence scores to each correction and flags uncertain changes for human review. Gives you control over which corrections are applied automatically and which require approval.
Confidence Scoring and Flagging
Assigns confidence scores to each correction and flags uncertain changes for human review. Gives you control over which corrections are applied automatically and which require approval.
Confidence Scoring and Flagging
Assigns confidence scores to each correction and flags uncertain changes for human review. Gives you control over which corrections are applied automatically and which require approval.
Seamless Integration with Downstream Systems
Delivers corrected data in your preferred format (JSON, CSV, Excel, or direct database import). Integrates directly with your data pipeline to eliminate manual re-entry and import errors.
Seamless Integration with Downstream Systems
Delivers corrected data in your preferred format (JSON, CSV, Excel, or direct database import). Integrates directly with your data pipeline to eliminate manual re-entry and import errors.
Seamless Integration with Downstream Systems
Delivers corrected data in your preferred format (JSON, CSV, Excel, or direct database import). Integrates directly with your data pipeline to eliminate manual re-entry and import errors.
Seamless Integration with Downstream Systems
Delivers corrected data in your preferred format (JSON, CSV, Excel, or direct database import). Integrates directly with your data pipeline to eliminate manual re-entry and import errors.
Corrects errors across any document type
To deliver clean, reliable data for downstream processing.
Get started
Get started
Import your files
Microsoft Sharepoint Online
,
Google Drive
,
Microsoft Excel
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
Connect AI to your document quality process.
Connect AI to your document quality process.
Transform OCR output into reliable business data.
Transform OCR output into reliable business data.
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.
Handling any document condition.
From pristine to severely degraded.
OCR errors vary wildly depending on source quality. This agent handles everything from clean, high-resolution scans to faded photocopies, handwritten annotations, and severely skewed images. It corrects errors regardless of document condition or complexity.
Input types
Low-Quality Scans
Handwritten Notes
50+ Languages
Complex Tables
Document types
PDFs
Images
Tables
Spreadsheets
Text Files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Handling any document condition.
From pristine to severely degraded.
OCR errors vary wildly depending on source quality. This agent handles everything from clean, high-resolution scans to faded photocopies, handwritten annotations, and severely skewed images. It corrects errors regardless of document condition or complexity.
Input types
Low-Quality Scans
Handwritten Notes
50+ Languages
Complex Tables
Document types
PDFs
Images
Tables
Spreadsheets
Text Files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Handling any document condition.
From pristine to severely degraded.
OCR errors vary wildly depending on source quality. This agent handles everything from clean, high-resolution scans to faded photocopies, handwritten annotations, and severely skewed images. It corrects errors regardless of document condition or complexity.
Input types
Low-Quality Scans
Handwritten Notes
50+ Languages
Complex Tables
Document types
PDFs
Images
Tables
Spreadsheets
Text Files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Achieve 95%+ correction accuracy
through intelligent analysis.
OCR correction requires precision. This agent uses multi-layered validation, contextual reasoning, and pattern matching to ensure corrections are accurate. Every change is scored for confidence, and uncertain corrections are flagged for human review before application.
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)
Achieve 95%+ correction accuracy
through intelligent analysis.
OCR correction requires precision. This agent uses multi-layered validation, contextual reasoning, and pattern matching to ensure corrections are accurate. Every change is scored for confidence, and uncertain corrections are flagged for human review before application.
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)
Achieve 95%+ correction accuracy
through intelligent analysis.
OCR correction requires precision. This agent uses multi-layered validation, contextual reasoning, and pattern matching to ensure corrections are accurate. Every change is scored for confidence, and uncertain corrections are flagged for human review before application.
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 corrections,
fully auditable.
Every correction is documented with its source, reasoning, and confidence score. You get a complete audit trail showing what changed, why it changed, and how confident the agent is in each correction. This transparency builds trust in the corrected data.

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 corrections,
fully auditable.
Every correction is documented with its source, reasoning, and confidence score. You get a complete audit trail showing what changed, why it changed, and how confident the agent is in each correction. This transparency builds trust in the corrected data.

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 corrections,
fully auditable.
Every correction is documented with its source, reasoning, and confidence score. You get a complete audit trail showing what changed, why it changed, and how confident the agent is in each correction. This transparency builds trust in the corrected data.

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 documents.
Scanned documents often contain confidential information. V7 Go processes all OCR correction within your secure environment, ensuring sensitive data remains protected. Your documents are never used for model training or shared with external parties.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise-grade security
for sensitive documents.
Scanned documents often contain confidential information. V7 Go processes all OCR correction within your secure environment, ensuring sensitive data remains protected. Your documents are never used for model training or shared with external parties.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise-grade security
for sensitive documents.
Scanned documents often contain confidential information. V7 Go processes all OCR correction within your secure environment, ensuring sensitive data remains protected. Your documents are never used for model training or shared with external parties.
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 document processing workflows
More agents
Answers
Answers
What you need to know about our
AI OCR Correction Agent
How does the agent know what's an error versus intentional text?
The agent uses multiple signals: OCR confidence scores, contextual analysis, pattern matching against known document types, and your firm's Knowledge Hub. It learns from your corrections over time, improving accuracy with each batch processed.
+
How does the agent know what's an error versus intentional text?
The agent uses multiple signals: OCR confidence scores, contextual analysis, pattern matching against known document types, and your firm's Knowledge Hub. It learns from your corrections over time, improving accuracy with each batch processed.
+
How does the agent know what's an error versus intentional text?
The agent uses multiple signals: OCR confidence scores, contextual analysis, pattern matching against known document types, and your firm's Knowledge Hub. It learns from your corrections over time, improving accuracy with each batch processed.
+
What document types can it correct?
The agent handles any scanned document: invoices, contracts, financial statements, forms, reports, and handwritten notes. It's particularly effective with structured documents like tables and forms, but also works on unstructured text.
+
What document types can it correct?
The agent handles any scanned document: invoices, contracts, financial statements, forms, reports, and handwritten notes. It's particularly effective with structured documents like tables and forms, but also works on unstructured text.
+
What document types can it correct?
The agent handles any scanned document: invoices, contracts, financial statements, forms, reports, and handwritten notes. It's particularly effective with structured documents like tables and forms, but also works on unstructured text.
+
Can it handle multiple languages?
Yes. The agent corrects OCR errors across 50+ languages. It understands language-specific character sets, diacritics, and formatting conventions, making it effective for multilingual document batches.
+
Can it handle multiple languages?
Yes. The agent corrects OCR errors across 50+ languages. It understands language-specific character sets, diacritics, and formatting conventions, making it effective for multilingual document batches.
+
Can it handle multiple languages?
Yes. The agent corrects OCR errors across 50+ languages. It understands language-specific character sets, diacritics, and formatting conventions, making it effective for multilingual document batches.
+
What if I want to review corrections before they're applied?
The agent provides a detailed correction report showing every change, its confidence score, and the reason for the correction. You can approve, reject, or modify any correction before the final output is generated.
+
What if I want to review corrections before they're applied?
The agent provides a detailed correction report showing every change, its confidence score, and the reason for the correction. You can approve, reject, or modify any correction before the final output is generated.
+
What if I want to review corrections before they're applied?
The agent provides a detailed correction report showing every change, its confidence score, and the reason for the correction. You can approve, reject, or modify any correction before the final output is generated.
+
How does it handle handwritten or low-quality scans?
The agent is built for real-world messiness. It handles faded text, skewed scans, handwritten annotations, and poor image quality. It uses advanced image preprocessing and contextual reasoning to extract and correct text even from challenging source material.
+
How does it handle handwritten or low-quality scans?
The agent is built for real-world messiness. It handles faded text, skewed scans, handwritten annotations, and poor image quality. It uses advanced image preprocessing and contextual reasoning to extract and correct text even from challenging source material.
+
How does it handle handwritten or low-quality scans?
The agent is built for real-world messiness. It handles faded text, skewed scans, handwritten annotations, and poor image quality. It uses advanced image preprocessing and contextual reasoning to extract and correct text even from challenging source material.
+
Can it learn from my corrections?
Absolutely. As you approve or modify corrections, the agent learns your preferences and domain-specific terminology. Over time, it becomes more accurate for your specific document types and business context.
+
Can it learn from my corrections?
Absolutely. As you approve or modify corrections, the agent learns your preferences and domain-specific terminology. Over time, it becomes more accurate for your specific document types and business context.
+
Can it learn from my corrections?
Absolutely. As you approve or modify corrections, the agent learns your preferences and domain-specific terminology. Over time, it becomes more accurate for your specific document types and business context.
+
Next steps
Next steps
Drowning in OCR errors?
Send us a batch of your most problematic scanned documents, and we'll show you how our agent cleans them automatically.
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: