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The Best OCR for Financial Statements in 2025 (Our Top 10 Picks)

We reviewed multiple OCR platforms to find which ones perform best with financial statements. Our evaluation focused on accuracy, processing speed, integration options, and overall cost. Some tools cater to small teams needing quick, structured spreadsheet exports, while others are designed for enterprises handling high volumes of documents every month.

Below are our top 10 picks for the best OCR tools for financial statements in 2025.

1. InvoiceOCR.co

InvoiceOCR.co makes it simple to extract data from financial statements using AI OCR. Upload balance sheets, income statements, or cash flow reports in PDF or scanned form, and get clean, structured data ready for Excel, CSV, or your accounting system in seconds. No templates or coding required.

Key Features

  • Works with PDFs, scans, and images
  • Captures totals, line items, and key fields automatically
  • Exports data to Excel, CSV, or APIs
  • Handles any layout without setup or templates
  • Includes built-in validation for accuracy

Pros

  • Quick to start and easy to use
  • Accurate even with complex formats
  • Saves hours of manual data entry

Cons

  • Focused on data extraction, not full accounting automation
  • Advanced integrations available on higher plans

Pricing

  • Standard: $29/month for 1 user and 100 pages
  • Scale: $3,950/year for 10 users, 42,000 pages, and API access
  • Enterprise: From $20,000/year with unlimited pages and ERP integrations

2. Lido

Lido uses AI OCR to turn financial statements into clean, structured spreadsheets in just a few clicks. It works with both scanned and digital PDFs, making it a reliable choice for accountants, finance teams, and auditors who want fast, accurate results.

Key Features

  • Converts financial statements directly to Excel or CSV
  • Supports scanned and digital PDFs
  • SOC 2 and HIPAA compliant with AES-256 encryption

Pros

  • Accurate even with detailed or complex layouts
  • Simple to set up and start using
  • Includes a free trial with 50 pages

Cons

  • No mobile app available
  • Limited customization for export templates

Pricing

  • Standard: $29/month (1 user, 100 pages)
  • Scale: $3,950/year (10 users, up to 42,000 pages, and full API access)
  • Enterprise: From $20,000/year (includes unlimited pages, ERP integrations, and dedicated onboarding support)

3. OCRFinancialStatements.com

OCRFinancialStatements.com focuses on turning complex financial reports into accurate, structured data you can actually use. It’s designed for finance teams that handle regular reporting and need fast, dependable extractions without the hassle of manual cleanup. Just upload your statements, and the AI does the rest.

Key Features

  • Purpose-built for balance sheets, income statements, and cash flow reports
  • Works with scanned, digital, and multi-page PDFs
  • Automatically detects and extracts totals, line items, and key figures
  • Exports directly to Excel, CSV, or integrated platforms
  • No setup or training required

Pros

  • Consistent accuracy across varied layouts
  • Simple workflow that saves time
  • Integrates easily into existing reporting processes

Cons

  • Limited customization for data mapping
  • Bulk upload options restricted to higher tiers
  • Lacks detailed analytics or dashboard tools

Pricing

  • Standard: $29/month for 1 user and up to 100 pages per month
  • Scale: $3,950/year for 10 users and up to 42,000 pages annually, with API access
  • Enterprise: From $20,000/year, offering unlimited pages, ERP integrations, and dedicated support

4. Klippa DocHorizon

Klippa DocHorizon is an AI-powered OCR and document automation platform built for finance teams that handle large volumes of documents. It processes bank statements, invoices, and receipts with impressive accuracy and integrates easily with ERP systems and financial workflows.

Key Features

  • AI-driven OCR for financial documents
  • Supports bank statements, invoices, and receipts
  • Offers API and ERP integrations for automation

Pros

  • Enterprise-level accuracy and automation
  • Strong data security and compliance standards

Cons

  • Designed mainly for larger teams
  • Pricing can be high for smaller businesses

Pricing

  • Growth: $399/month for up to 3 users and 36,000 pages per year, with API access and basic support
  • Pro: Custom pricing for up to 10 users, advanced validations, post-processing, and dedicated support
  • Enterprise: Custom pricing with unlimited users, AI workflows, analytics, and full customization options

5. Nanonets

Nanonets uses AI-powered OCR to extract data from both clean and unstructured financial statements. It’s great for teams dealing with inconsistent layouts, handwritten entries, or low-quality scans, offering flexible automation that scales with your workload.

Key Features

  • Pre-trained AI models for financial data extraction
  • Works with scans, images, and PDFs
  • Cloud-based platform with API integrations

Pros

  • Handles handwritten or poorly scanned documents
  • Scales easily for enterprise workflows

Cons

  • Pricing can be complex for smaller teams
  • Some advanced features require higher usage tiers

Pricing

  • Free: Includes $200 in credits to get started
  • Pay-as-you-go: No fixed fees, charged per workflow block
  • Volume Plans: Custom pricing with discounts for annual or high-volume use

6. Rossum

Rossum is an intelligent document processing platform designed for enterprises that manage large volumes of financial data. Its AI engine reads and interprets statements, invoices, and reports without templates, adapting easily to different formats and layouts.

Key Features

  • Template-free AI for financial document extraction
  • Optional human-in-the-loop review for accuracy
  • Integrations with ERP, RPA, and workflow systems

Pros

  • Performs well with varied and unstructured documents
  • Reduces setup and maintenance time compared to rule-based tools

Cons

  • Requires onboarding to optimize performance
  • Pricing is better suited for high-volume users

Pricing

  • Starts around $18,000/year for base plans
  • Custom enterprise pricing available for larger volumes and integrations

7. ABBYY FineReader / FlexiCapture

ABBYY is a long-standing leader in OCR technology. FineReader PDF serves individuals and small teams who need precise document conversion, while FlexiCapture caters to enterprises that process large volumes of financial documents at scale.

Key Features

  • High-accuracy OCR with strong layout preservation
  • Enterprise-grade data extraction and validation
  • Integrations with ERP, RPA, and compliance systems

Pros

  • Exceptional OCR accuracy and reliability
  • Suitable for both small businesses and large organizations

Cons

  • Interface can be complex for beginners
  • FlexiCapture’s cost may be high for smaller teams

Pricing

  • FineReader: Starts at $99/year (Standard), $165/year (Corporate), or $69/year (Mac)
  • FlexiCapture: Enterprise pricing starts around $4,150 and can reach $12,000–$40,000+ based on volume and features

8. ChronoScan

ChronoScan is built for high-volume document processing and automation. It’s especially useful for finance teams that manage bulk financial statements, reports, or scanned records on a regular basis.

Key Features

  • Batch OCR for large document sets
  • Exports data into structured formats
  • Built-in workflow and classification tools

Pros

  • Efficient for processing high document volumes
  • Supports automated sorting and data capture

Cons

  • Interface feels outdated compared to newer tools
  • Primarily suited for enterprise or large-team environments

Pricing

  • Professional: €245 one-time license
  • Advanced: €595 one-time license
  • Enterprise: Custom pricing based on volume and deployment

9. DocuClipper

DocuClipper is a simple OCR solution designed for financial documents, especially bank statements. It quickly converts data into Excel or CSV formats, making it a practical tool for accountants and small finance teams.

Key Features

  • Specialized OCR for bank statements
  • Fast export to Excel or CSV
  • Built for accounting and finance workflows

Pros

  • Easy to use with minimal setup
  • Budget-friendly for small businesses

Cons

  • Limited to bank statement processing
  • Lacks advanced enterprise capabilities

Pricing

  • Starter: From $27/month for up to 120 pages
  • Professional: From $52/month for up to 280 pages
  • Business: From $111/month for up to 640 pages
  • Enterprise: Custom pricing for higher volumes and API access

10. Hypatos

Hypatos specializes in AI-based document processing for financial workflows. It’s designed to automate the extraction of data from balance sheets, income statements, and audit reports with minimal manual review. Its deep learning models handle complex layouts and deliver accounting-ready data at scale.

Key Features

  • AI OCR trained on financial statements and reports
  • Automates classification, data extraction, and validation
  • Integrates with ERP, RPA, and accounting systems

Pros

  • Highly accurate for structured and semi-structured financial data
  • Reduces manual review with built-in validation
  • Scales easily for enterprise-level automation

Cons

  • Best suited for mid to large organizations
  • Requires setup and training for custom models

Pricing

  • Custom enterprise pricing based on volume and integration needs

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