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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