Best data capture software in 2026: 11 tools compared

The best data capture software for most business teams in 2026 is an intelligent document processing (IDP) platform that reads varied layouts, validates what it extracts and sends only exceptions to a person. Docsumo, Rossum, Infrrd and ABBYY Vantage fit that description; Docparser suits fixed layouts, Amazon Textract suits developers building their own pipeline, and Dext and Ocrolus serve bookkeeping and lending specifically.

This guide explains what data capture software does, the criteria we used, and a short, factual profile of 11 tools, followed by a comparison table.

What is data capture software?#

Data capture software pulls information out of documents and turns it into structured data. It takes in PDFs, scans, photos and emails, recognizes the text, works out which values matter (an invoice total, a policy number, a transaction row) and exports them to a spreadsheet, database or business system.

Older tools relied on templates: someone drew a zone around each field, and the tool read that zone on every page. Current tools use machine learning and large language models to find fields on layouts they haven't seen, and add validation rules so errors are caught before they reach your systems. For the full process, see our guide to automated data capture.

Who uses it

• Lenders read bank statements, pay stubs and tax returns to underwrite loans.
• Accounts payable teams capture invoice headers and line items and match them to purchase orders.
• Insurers and brokers read ACORD forms, loss runs and claims documents.
• Accounting firms capture receipts, bills and statements for bookkeeping.

How we chose these tools#

We included tools that are sold today, have a public product site, and extract data from business documents rather than only converting a file to text. For each one we describe only what its own website says as of September 2026. We left out ratings and prices, which change often; check each vendor's site for current plans.

The criteria that matter most when you compare them:

1. Accuracy on your documents. Test with your own scans, not the vendor's samples.
2. New layouts. Does it need a template per layout, or can it read a layout it hasn't seen?
3. Validation and review. Can you set rules, see confidence per field and review only what fails?
4. Document types. Does it have pre-trained models for your documents, or will you train your own?
5. Integrations. API, webhooks and connectors to your ERP, loan origination system or CRM.
6. Security. SOC 2 Type 2, HIPAA or GDPR coverage, depending on your data.
7. Pricing model. Per page, per month or custom; and whether there's a free trial.

The 11 best data capture software tools in 2026#

1. Docsumo

Docsumo is an IDP platform for document-heavy teams in lending, financial services, insurance and accounts payable. LLM-based models classify each page, split mixed uploads into separate documents and extract fields and multi-page tables, with a confidence score on each value. Pre-trained models cover bank statements, pay stubs, tax forms, ACORD forms, invoices, bills of lading and IDs, and you can train a model on your own document types.

What sets it apart is that it checks the whole file, not just the page: case management groups a borrower's or claimant's documents together and runs cross-document validation, so a reviewer only sees what fails a check.

• Best for: lenders, insurers and AP teams that need extraction plus validation and review
• Proof points: 99% field-level accuracy on 250+ document types and 95%+ straight-through processing
• Integrations: API, webhooks, Excel and Salesforce (see integrations)
• Security: SOC 2 Type 2, HIPAA and GDPR
• Trial: free for 14 days, up to 1,000 pages

2. Rossum

Rossum is an AI document processing platform focused on transactional documents: accounts payable, order management, customs clearance and quality assurance. It describes its model as a proprietary transactional LLM supporting 276 languages and handwriting, and validates data against master data and ERPs. Coupa acquired Rossum in May 2026 to extend IDP across its spend management platform.

• Best for: AP and order processing teams, especially those already on Coupa

3. ABBYY Vantage

ABBYY Vantage is a low-code IDP platform built for enterprises. It uses pre-trained AI models, which ABBYY calls Skills, to process structured, semi-structured and unstructured documents, including handwriting, barcodes and checkboxes. It connects to RPA, BPM, ERP and ECM systems through pre-built connectors and REST APIs.

• Best for: large enterprises with automation teams and existing RPA tools

4. Infrrd

Infrrd is an enterprise IDP platform with a strong focus on mortgage (origination, servicing and quality control) and insurance (claims and underwriting). It also serves AP/AR processing and engineering drawing extraction, and supports both straight-through processing and human-in-the-loop review.

• Best for: mortgage and insurance operations with complex, varied files

5. Ocrolus

Ocrolus is an AI workflow and analytics platform for lenders. It analyzes bank statements, pay stubs and tax documents, detects signs of document fraud, and provides cash flow analysis and income calculations for small business funding and mortgage lending.

• Best for: lenders that want analytics and fraud signals delivered with the data

6. Nanonets

Nanonets now positions itself as a platform that turns business procedures into AI agents, with agentic data extraction powered by its own OCR model. It integrates with systems such as SAP, Oracle and Salesforce. New accounts get free credits to try it.

• Best for: teams that want extraction as part of broader agent-based automation

7. Doxis (formerly Klippa)

Klippa now operates as Doxis. Its Doxis AI.dp product covers OCR and data extraction, document classification, document verification and fraud detection across financial, identity, logistics, legal, HR and medical documents. A second product, SpendControl, handles spend management.

• Best for: teams capturing IDs, receipts and invoices, alongside spend management

8. Xtracta

Xtracta is an AI document platform that processes invoices, receipts, bank statements, contracts, loan applications, customs documents and insurance claims. It serves banking, logistics, accounting and legal businesses.

• Best for: mid-sized businesses with a broad mix of document types

9. Docparser

Docparser is a rule-based parser. You define parsing rules for a layout, and it extracts data from PDF, Word, image, spreadsheet and text files, including invoices, purchase orders, bank statements and contracts. It exports to Excel, Google Sheets, JSON and XML and connects to Zapier, Workato and Power Automate. It offers a free trial with no credit card.

• Best for: small teams with a handful of stable, repeating layouts

10. Dext

Dext is a bookkeeping automation app for small businesses and accounting firms. It captures and categorizes receipts, invoices, bank statements and supplier statements and syncs them to accounting software such as QuickBooks Online, Xero, Sage and Zoho.

• Best for: accountants and bookkeepers managing many small clients

11. Amazon Textract

Amazon Textract is an AWS machine learning service that extracts text, handwriting, layout elements, forms and tables from scanned documents. It's a developer service rather than a finished application: you build the workflow, validation and review around it. It is priced per page, with a free tier for new AWS accounts.

• Best for: engineering teams building their own document pipeline on AWS

Comparison table#

How to run a fair pilot#

1. Pick 200 to 500 real documents, including your worst scans and rarest layouts.
2. Define the fields you need and the right answer for each, so you can score every tool the same way.
3. Measure straight-through rate, not just accuracy: the share of documents that pass without a person touching them.
4. Test the review screen with the people who'll use it every day.
5. Check the integration path end to end, from upload to the data landing in your system through the API or a connector.
6. Ask for security documents such as a SOC 2 Type 2 report.

The bottom line#

Choose by the job. For a few fixed layouts, a rule-based parser is enough. For a developer-built pipeline, a cloud OCR API works. For varied, high-stakes documents where every value has to be right, choose an IDP platform with validation, review and the pre-trained models for your document types. To see how Docsumo handles your documents, book a demo or start a free trial.

Frequently asked questions#