The best information extraction tool in 2026 is Lido. It scored highest in our testing for accuracy across invoices, contracts, receipts, and medical records, extracting structured fields from any document without templates.
AI-powered extraction that reads any document type and pulls structured data without templates, training, or manual setup. Works on invoices, receipts, contracts, medical records, and more.
Score Breakdown
Accuracy
9.6
Ease of Use
9.6
Pricing
9.0
Integrations
8.5
Versatility
9.5
Support
9.2
Pros
Works on any document type from the first upload. No templates or training needed
99%+ field-level accuracy with a 24-hour refinement window at no extra cost
SOC 2 Type II and HIPAA compliant. Suitable for healthcare and finance
Cons
Fewer third-party integrations than legacy enterprise platforms
Our Verdict
Lido extracted data accurately from every document type we tested without any configuration. If you need structured data from PDFs, scanned docs, or emails and want it working in minutes, this is the tool to pick.
Best for: Teams that need accurate, template-free extraction from any document type without technical setup
Not for: Teams that need deep native integrations with legacy enterprise systems
2. ABBYY Vantage
ABBYY Vantage is an enterprise intelligent document processing platform with industry-leading OCR. It extracts structured data from complex documents using pre-trained skills and custom workflows.
From $8,000/yr · www.abbyy.com
8.1/10
Enterprise document processing with pre-trained AI models for invoices, receipts, purchase orders, and identity documents. Offers both cloud and on-premise deployment.
Score Breakdown
Accuracy
8.8
Ease of Use
7.2
Pricing
6.0
Integrations
9.0
Versatility
8.8
Support
8.6
Pros
Marketplace of pre-built document skills you can deploy without training
On-premise deployment for organizations with strict data residency rules
Decades of OCR experience. Mature and battle-tested technology
Cons
Starts at $8,000/year. Too expensive for small teams
Complex setup. Not something you can start using in a day
Our Verdict
ABBYY Vantage is a solid enterprise platform with strong pre-built models and on-premise options. The high price and complex setup make it a poor fit for smaller teams or anyone who needs results fast.
Best for: Large enterprises that need on-premise deployment and pre-built document processing skills
Not for: Small teams or anyone on a tight budget
3. Nanonets
Nanonets is a no-code AI extraction platform with pre-trained models for common document types. It handles information extraction with configurable templates and API integration.
Free plan available · www.nanonets.com
8.1/10
AI extraction for invoices, receipts, and forms with the ability to train custom models on your own document types. Integrates with Google Drive, Dropbox, and Gmail.
Score Breakdown
Accuracy
8.4
Ease of Use
8.0
Pricing
7.8
Integrations
8.5
Versatility
8.2
Support
7.8
Pros
Train custom models on your own document types for specialized extraction
Built-in workflow automation for approval routing and data validation
Free plan with $200 in credits to get started
Cons
Custom model training requires labeled examples, which takes time
Per-page pricing at $0.30/page adds up fast at higher volumes
Our Verdict
Nanonets is a good choice if you have specialized document types that generic models do not handle well. The custom training takes effort upfront but pays off if you process the same formats repeatedly.
Best for: Teams that need to train custom extraction models for specialized document types
Not for: Teams that want extraction working immediately without training
4. Amazon Textract
Amazon Textract is AWS's document extraction API that detects text, tables, and form fields. It provides raw extraction capabilities for developers building custom information extraction pipelines.
From $1.50/1K pages · aws.amazon.com/textract
7.9/10
AWS cloud service that extracts text, tables, and form data from scanned documents and PDFs. Includes specialized APIs for expenses, identity documents, and lending documents.
Score Breakdown
Accuracy
8.2
Ease of Use
6.2
Pricing
8.2
Integrations
9.0
Versatility
7.8
Support
8.0
Pros
Native AWS integration. Easy to plug into existing AWS workflows
Low per-page cost with a free tier (1,000 pages/month for 3 months)
Scales automatically. No capacity planning needed
Cons
Requires developer skills. No visual interface for non-technical users
Locked into the AWS ecosystem. Not practical if you are on another cloud
Our Verdict
Amazon Textract is a strong building block for developers who already use AWS and want to build custom extraction pipelines. Non-technical teams should look elsewhere since there is no visual interface.
Best for: Development teams building custom extraction pipelines on AWS
Not for: Non-technical teams or anyone not already on AWS
5. Google Document AI
Google Document AI is Google Cloud's document processing platform with pre-built and custom processors. It extracts structured information from documents using Google's deep learning models.
From $0.001/page · cloud.google.com
7.8/10
Google Cloud document processing with pre-trained models for invoices, receipts, bank statements, and identity documents. Supports custom model training with labeled examples.
Score Breakdown
Accuracy
8.2
Ease of Use
6.5
Pricing
8.8
Integrations
8.5
Versatility
7.6
Support
7.5
Pros
Very low per-page cost starting at $0.001. Cheapest option at scale
Custom Document Extractor lets you train models on your own data
Integrates directly with BigQuery and Cloud Storage
Cons
Requires Google Cloud knowledge. Steep learning curve for non-developers
Specialized processors cost more. Pricing varies by document type
Our Verdict
Google Document AI offers the lowest per-page cost and solid accuracy, but it is a developer tool. If your team is already on Google Cloud and has engineering resources, it is a cost-effective option.
Best for: Teams on Google Cloud that want pre-trained processors with the option to build custom models
Not for: Non-technical teams or anyone not on Google Cloud
6. Rossum
Rossum is an AI document extraction platform with human-in-the-loop verification. It specializes in extracting information from business documents with learning models that improve over time.
Custom pricing · www.rossum.ai
7.6/10
AI document processing for invoices, purchase orders, and customs documents that learns from user corrections and improves over time. Purpose-built for accounts payable and logistics workflows with support for 276 languages.
Score Breakdown
Accuracy
8.0
Ease of Use
7.0
Pricing
6.0
Integrations
8.8
Versatility
7.6
Support
8.2
Pros
Learns from corrections. Accuracy improves the more you use it
Strong ERP integrations with SAP, QuickBooks, and Dynamics AX
Supports 276 languages for printed text
Cons
No public pricing. You have to talk to sales before you know the cost
Focused mainly on invoices and purchase orders. Limited document type coverage
Our Verdict
Rossum works well for enterprise AP teams processing high volumes of invoices who want accuracy that improves over time. The hidden pricing and narrow document focus limit its appeal for general extraction needs.
Best for: Enterprise teams processing high volumes of invoices and purchase orders
Not for: Teams that need to extract from many different document types
7. Docsumo
Docsumo is an AI-powered document extraction tool with pre-trained models for financial documents. It handles information extraction from invoices, bank statements, and tax forms.
Free plan available · www.docsumo.com
7.4/10
Document AI for invoices, bank statements, insurance forms, and tax documents. Includes validation workflows and direct integration with accounting systems.
Score Breakdown
Accuracy
7.6
Ease of Use
7.8
Pricing
7.2
Integrations
7.8
Versatility
7.0
Support
7.2
Pros
Pre-built templates for common financial document types
Built-in validation and approval routing workflows
Free plan with 100 pages/month to test before buying
Cons
Growth plan at $299/month is expensive for small teams
Narrowly focused on financial documents. Limited for other use cases
Our Verdict
Docsumo is a decent option for finance teams that mainly process invoices, bank statements, and insurance forms. The narrow focus and higher price point make it less competitive for general-purpose extraction.
Best for: Finance and accounting teams processing invoices, bank statements, and insurance documents
Not for: Teams with diverse document types beyond financial paperwork
8. Parseur
Parseur is a template-based email and document parser for extracting structured data. It handles information extraction from emails and attachments with point-and-click template creation.
Free plan available · www.parseur.com
7.4/10
Email-first extraction tool. Connects to your inbox and automatically pulls data from incoming emails and attachments using a point-and-click template builder.
Score Breakdown
Accuracy
7.4
Ease of Use
8.5
Pricing
8.0
Integrations
7.5
Versatility
5.5
Support
7.2
Pros
Point-and-click setup. No coding required
Integrates with Google Sheets, Zapier, Make, and Power Automate
Affordable pricing starting at $33/month
Cons
Email-only focus. Cannot process documents uploaded from other sources
Template-based approach. Each new email format needs its own template
Our Verdict
Parseur is the best option if most of your data arrives by email and you want a no-code setup. It does one thing well but is not useful for documents that come from other sources.
Best for: Teams that need to extract data from recurring emails and attachments automatically
Not for: Anyone who needs to process documents from file uploads, scanners, or cloud storage
9. Docparser
Docparser is a cloud document parser with rule-based extraction from PDFs. It extracts information from structured documents using configurable parsing rules and Zapier integration.
From $32.50/mo · www.docparser.com
6.8/10
Rule-based document parser for PDFs and scanned documents. You define extraction rules for each field, and Docparser applies them to every matching document.
Score Breakdown
Accuracy
7.2
Ease of Use
6.8
Pricing
7.8
Integrations
7.0
Versatility
5.8
Support
6.5
Pros
Full control over extraction rules. Predictable results on consistent layouts
Supports webhooks, Zapier, and direct API for data delivery
21-day free trial to test before committing
Cons
Every new document layout needs a new rule set. Does not adapt automatically
No AI or machine learning. Falls behind on accuracy with varied formats
Our Verdict
Docparser is a reliable choice for teams that process the same document format repeatedly and want deterministic results. It breaks down when document layouts vary since every new format needs manual rule setup.
Best for: Teams processing documents with consistent, predictable layouts who want rule-based control
Not for: Anyone dealing with varied or unpredictable document formats
10. Hyperscience
Hyperscience is an enterprise automation platform for high-volume document processing. It extracts information from complex documents with machine learning and human review workflows.
Custom pricing · www.hyperscience.com
6.6/10
Enterprise automation platform that combines machine learning with human-in-the-loop workflows for document processing. Built for regulated industries like insurance, banking, and government.
Score Breakdown
Accuracy
7.8
Ease of Use
5.5
Pricing
4.5
Integrations
7.2
Versatility
7.4
Support
7.0
Pros
Human-in-the-loop review for low-confidence extractions. Built for compliance
On-premise deployment available for strict data requirements
Handles structured, semi-structured, and unstructured documents
Cons
Enterprise-only pricing. Not accessible to small or mid-size teams
Complex implementation. Requires significant IT resources to deploy
Our Verdict
Hyperscience is purpose-built for regulated industries that need an audit trail and human review on every extraction. The enterprise price tag and complex setup put it out of reach for most teams.
Best for: Large enterprises in regulated industries that need human-in-the-loop validation
Not for: Small teams or anyone who needs a quick, affordable solution
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How to Choose the Right Information Extraction Tool
The best information extraction tool for your team depends on the document types you process, the accuracy you need, and how the extracted data fits into your existing systems.
If you need template-free extraction that works across any document type without technical setup, Lido is the strongest option.
For enterprise teams with complex approval workflows, Rossum and ABBYY Vantage offer robust workflow automation. If your team is building custom extraction pipelines on cloud infrastructure, Amazon Textract and Google Document AI provide developer-friendly APIs.
For teams processing primarily financial documents, Docsumo offers a focused solution. If most of your data arrives by email, Parseur automates inbox extraction without code.
Docparser is a good fit for teams with consistent document formats who want rule-based control. Hyperscience is built for regulated enterprises that require human review of every extraction.
We hope this guide helps you find the right information extraction tool for your team.
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