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

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    Mercedes-Benz logo
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    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI OCR Correction Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI OCR Correction Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI OCR Correction Agent in action

Play video

Batch OCR Cleanup

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    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

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.

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

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:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo