The best AI tools to extract data from PDFs are Lido (best for template-free extraction from any PDF), Amazon Textract (best for AWS-based pipelines), Google Document AI (best for Google Cloud teams), ABBYY Vantage (best for enterprise on-premise), Adobe Acrobat Pro (best for basic PDF text extraction), Nanonets (best for custom-trained models), Docsumo (best for financial documents), Parseur (best for email-based PDFs), Docparser (best for rule-based parsing), and Klippa (best for European compliance).
AI-powered PDF extraction tools read PDFs and pull structured data from them automatically. Instead of copying and pasting from a PDF into a spreadsheet, these tools use OCR (optical character recognition) and machine learning to identify fields, tables, and text and output them in a format your systems can use.
This guide compares the 10 best AI tools to extract data from PDFs in 2026, covering what each one does best, key features, and pricing.
Lido is the most accurate AI tool for extracting data from PDFs. It reads any PDF and pulls structured data into organized columns automatically, with no templates, no training, and no manual setup. Most tools require you to configure a template for each document layout. Lido skips that entirely and works on the first upload.
Where Lido stands out is versatility and accuracy. It handles invoices, bank statements, receipts, contracts, tax forms, medical records, and any other PDF type with 99%+ field-level accuracy. If something does come back wrong, a 24-hour refinement window lets you flag the error and Lido corrects it at no extra cost.
Lido also automates the full pipeline. Connect an email inbox and every incoming PDF attachment gets processed automatically. The extracted data exports directly to Excel, Google Sheets, QuickBooks, or CSV. Lido is SOC 2 Type II and HIPAA compliant, so it meets the security requirements of finance, healthcare, and legal teams.
Best for: Teams that want the highest accuracy across any PDF type without configuring templates or writing code.
Pricing: 50 free pages. Custom pricing based on volume.
Amazon Textract is a cloud-based document extraction service from AWS. It uses machine learning to extract text, tables, and form data from PDFs and scanned documents. Textract integrates natively with the AWS ecosystem, making it a natural fit 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 plug into custom workflows. The service scales automatically and charges per page processed.
Best for: Development teams building custom PDF extraction pipelines on AWS infrastructure.
Pricing: Pay-per-page. Starts at $1.50 per 1,000 pages for basic text extraction. Free tier includes 1,000 pages/month for the first 3 months.
Google Document AI is a cloud-based platform that uses Google's machine learning models to extract structured data from PDFs and other documents. It offers pre-trained processors for invoices, receipts, bank statements, pay stubs, and identity documents.
The platform also supports custom document processing through its Custom Document Extractor. You train models on your 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 are priced higher. Free tier includes 1,000 pages/month.
ABBYY Vantage is an enterprise document processing platform with pre-trained AI models for common document types like invoices, receipts, purchase orders, and identity documents. It combines OCR, natural language processing, and machine learning to extract data from both structured and unstructured PDFs.
ABBYY has decades of experience in OCR technology. The platform includes a marketplace of pre-built document skills that can be deployed without training. It offers both cloud and on-premise deployment, which is important for organizations with strict data residency requirements.
Best for: Large enterprises that need on-premise deployment and pre-built document processing models.
Pricing: Starts at $8,000/year. Per-page pricing ranges from $0.02 to $0.10 depending on volume.
Adobe Acrobat Pro includes built-in AI features for extracting text and data from PDFs. It can convert scanned PDFs into editable and searchable documents using OCR, and export PDF content to Excel, Word, and other formats.
Acrobat Pro is a general-purpose PDF tool rather than a dedicated extraction platform. It works well for basic text extraction and PDF-to-Excel conversion, but it does not offer the field-level intelligence or automation features of specialized AI extraction tools.
Best for: Individual users who need basic PDF text extraction and format conversion alongside other PDF editing features.
Pricing: $22.99/month (annual plan). 7-day free trial available.
Nanonets is an AI-powered extraction tool that processes PDFs using OCR and deep learning. It integrates with Google Drive, Dropbox, SharePoint, and Gmail for automatic document ingestion.
The platform lets you train custom models on your own document types, which is useful for specialized PDFs that generic models do not handle well. Nanonets also offers workflow automation for approval routing and data validation before the extracted data reaches your systems.
Best for: Teams that need to train custom extraction models for specialized PDF types.
Pricing: Free plan with $200 in credits. Pay-as-you-go at $0.30/page with volume discounts.
Docsumo is a document AI platform focused on financial documents. It extracts data from invoices, bank statements, insurance forms, tax documents, and other business PDFs using machine learning models that improve over time with corrections.
The platform includes pre-built extraction templates for common financial document types and supports custom field configuration. 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. Enterprise pricing available.
Parseur extracts data from PDFs that arrive as email attachments. It connects to your inbox and automatically processes incoming PDFs using a point-and-click template builder. You highlight the fields you want extracted, and Parseur applies those rules to every matching PDF 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 PDFs by email, such as order confirmations, shipping documents, and booking requests.
Best for: Teams that need to extract data from PDFs received as email attachments automatically.
Pricing: Free plan with 20 emails/month. Paid plans start at $33/month (100 emails).
Docparser is a rule-based extraction tool that parses PDFs using user-defined extraction rules. You set up parsing rules that tell the software where to find each field on the page, and Docparser applies those rules to every incoming PDF.
The platform works well for PDFs with consistent formats but requires a new rule set for each document layout. It integrates with cloud storage services and supports delivery of parsed data via webhooks, Zapier, and direct API access.
Best for: Teams processing PDFs with consistent, predictable layouts who prefer rule-based control over AI extraction.
Pricing: Starter at $32.50/month (100 documents). Professional, Business, and Enterprise tiers available. 21-day free trial.
Klippa is a document processing platform based in the Netherlands that extracts data from PDFs, scanned documents, and photos. It specializes in financial documents like invoices, receipts, and identity documents, with strong support for European document formats and languages.
The platform includes fraud detection features that flag duplicate invoices and altered documents. Klippa is GDPR compliant and offers both cloud and on-premise deployment options, making it a strong choice for European organizations with data residency requirements.
Best for: European teams that need GDPR-compliant PDF extraction with fraud detection.
Pricing: Custom pricing. Free trial available.
The best AI tool for extracting data from PDFs 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 PDF type without technical setup, Lido is the strongest option. It handles any document layout on the first upload and delivers 99%+ accuracy.
For teams building custom extraction pipelines on cloud infrastructure, Amazon Textract and Google Document AI provide developer-friendly APIs with pay-per-page pricing.
If your team processes financial documents like invoices and bank statements, Docsumo offers a focused solution. For PDFs that arrive as email attachments, Parseur automates inbox extraction without code.
Large enterprises that need on-premise deployment should evaluate ABBYY Vantage and Klippa. For basic PDF-to-Excel conversion without the need for automation, Adobe Acrobat Pro handles the job at a lower price point.
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