Information extraction tools read documents, emails, and other unstructured data and pull specific fields from them into structured formats your systems can use. The right tool depends on the document types you process, the accuracy you need, and how much technical setup you are willing to do.
This guide compares the 10 best information extraction tools in 2026, covering what each one does best, key features, and pricing.
Lido is an AI-powered information extraction platform that reads documents and pulls structured data from them without templates or manual configuration. Upload a PDF, scanned document, photo, or email attachment, and Lido identifies the relevant fields and extracts them into structured columns automatically.
Lido handles invoices, receipts, contracts, medical records, tax forms, and any other document type. It works with any layout on the first upload, with no per-document setup required. The platform delivers 99%+ field-level accuracy and includes a 24-hour refinement window where you can flag errors and Lido corrects them at no extra cost.
Lido is SOC 2 Type II compliant and HIPAA compliant, making it suitable for healthcare, finance, and other regulated industries. It supports email inbox integration for automatic processing as documents arrive.
Best for: Teams that need accurate, template-free extraction from any document type without technical setup.
Pricing: Custom pricing based on volume. Free trial available.
ABBYY Vantage is an enterprise intelligent document processing platform with pre-trained AI models for common document types like invoices, receipts, purchase orders, and identity documents. It uses a combination of OCR, NLP, and machine learning to extract data from structured and unstructured documents.
The platform includes a marketplace of pre-built document skills that can be deployed without training. ABBYY has decades of experience in OCR technology and offers both cloud and on-premise deployment options for organizations with strict data residency requirements.
Best for: Large enterprises that need on-premise deployment options and pre-built document processing skills.
Pricing: Starts at $8,000/year. Per-page pricing ranges from $0.02 to $0.10 depending on volume. Custom quotes for enterprise deployments.
Nanonets is an AI-powered extraction tool that processes invoices, receipts, forms, and other unstructured documents using OCR and deep learning. It integrates with Google Drive, Dropbox, SharePoint, and Gmail for automatic document ingestion.
The platform lets users train custom models on their own document types, which is useful for organizations with specialized forms that generic models do not handle well. Nanonets also offers workflow automation features for approval routing and data validation.
Best for: Teams that need to train custom extraction models for specialized document types.
Pricing: Free plan with $200 in credits. Pay-as-you-go at $0.30/page with volume discounts.
Amazon Textract is a cloud-based OCR and document extraction service from AWS. It extracts text, tables, and form data from scanned documents and PDFs. Textract integrates natively with the AWS ecosystem, making it a natural choice for teams already running workloads on AWS.
Textract offers specialized APIs for analyzing expense documents, identity documents, and lending documents. It returns structured JSON output that developers can integrate into custom workflows. The service scales automatically and charges per page processed.
Best for: Development teams building custom extraction pipelines on AWS infrastructure.
Pricing: Pay-per-page. Starts at $1.50 per 1,000 pages for basic text extraction. Expense and identity analysis APIs are priced separately. Free tier includes 1,000 pages/month for the first 3 months.
Google Document AI is a cloud-based document processing platform that uses Google's machine learning models to extract structured data from documents. It offers pre-trained processors for invoices, receipts, bank statements, pay stubs, and identity documents.
The platform supports custom document processing through its Custom Document Extractor, which lets users train models on their own document types with labeled examples. Google Document AI integrates with BigQuery, Cloud Storage, and other Google Cloud services.
Best for: Teams on Google Cloud that want pre-trained processors with the option to build custom models.
Pricing: Pay-per-page. General processor starts at $0.001 per page. Specialized processors (invoices, receipts) are priced higher. Free tier includes 1,000 pages/month.
Rossum is an intelligent document processing platform that uses AI to extract data from invoices, purchase orders, and customs documents. It learns from user corrections over time, improving accuracy as it processes more documents.
Rossum integrates with major ERPs like SAP, QuickBooks, and Dynamics AX. It supports 276 languages for printed text and 30 languages for handwriting recognition. The platform is designed for enterprise-scale document automation with workflow routing and approval features built in.
Best for: Enterprise teams processing high volumes of invoices and purchase orders with complex approval workflows.
Pricing: Custom pricing based on document volume. 14-day free trial available.
Docsumo is a document AI platform that extracts data from invoices, bank statements, insurance forms, tax documents, and other business paperwork. It uses machine learning models that learn from your data to improve accuracy over time.
The platform includes pre-built extraction templates for common document types and supports custom field configuration for specialized documents. Docsumo offers validation workflows, approval routing, and direct integration with accounting and ERP systems.
Best for: Finance and accounting teams processing invoices, bank statements, and insurance documents.
Pricing: Free plan with 100 pages/month. Growth plan starts at $299/month ($0.30/page). Enterprise pricing available.
Parseur is an information extraction tool built for emails and email attachments. It connects to your inbox and automatically extracts data from incoming emails, PDFs, and other attachments using a point-and-click template builder. You highlight the fields you want, and Parseur applies those rules to every matching email that arrives.
The platform integrates with Google Sheets, Excel, Zapier, Make, and Power Automate for automated data routing. Parseur works well for teams that receive structured information by email, such as order confirmations, shipping notifications, booking requests, and lead forms.
Best for: Teams that need to extract data from recurring emails and email attachments automatically.
Pricing: Free plan with 20 emails/month. Paid plans start at $33/month (100 emails). Business and Enterprise tiers available.
Docparser is a rule-based document extraction tool that parses PDFs and scanned documents using user-defined extraction rules. You set up parsing rules that tell the software where to find each field, and Docparser applies those rules to every incoming document.
The platform integrates with cloud storage services and supports delivery of parsed data via webhooks, Zapier, and direct API. Docparser works well for documents with consistent formats but requires a new rule set for each document layout.
Best for: Teams processing documents with consistent, predictable layouts who prefer rule-based control over AI-based extraction.
Pricing: Starter at $32.50/month (100 documents). Professional, Business, and Enterprise tiers available. 21-day free trial.
Hyperscience is an enterprise automation platform that combines machine learning with human-in-the-loop workflows for document processing. It extracts data from structured, semi-structured, and unstructured documents and routes low-confidence extractions to human reviewers automatically.
The platform is designed for large-scale deployments in regulated industries like insurance, banking, and government. Hyperscience offers both cloud and on-premise deployment and emphasizes auditability and compliance in its extraction workflows.
Best for: Large enterprises in regulated industries that need human-in-the-loop validation and on-premise deployment.
Pricing: Custom enterprise pricing. Contact sales for a quote.
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.
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