Overview

invoice2data is a command-line tool and Python library for extracting structured data from PDF invoices. It suits developers and accounting teams prepared to configure an open-source workflow. Its flexibility and local-processing options are compelling, but it is not a ready-made invoice service or a general-purpose document extractor.

Key features

Text extraction can use selectable backends including pdfium, pdftotext, pdfminer and pdfplumber, alongside OCR tools. YAML or JSON templates specify custom fields and can apply multiple regular expressions to each field. That control helps teams adapt extraction to their invoice formats, but they must create and maintain the matching rules themselves.

The command-line tool exports results as CSV, JSON or XML and can rename PDFs based on their contents. Optional plugins support line-item and table extraction, including an opt-in Camelot plugin for advanced table parsing. These capabilities can suit accounting processes that need more than invoice headers, though they add components to select and configure.

Optional AI features can draft templates from sample documents or try to extract fields when templates do not match. The AI layer lists OpenAI, DeepSeek, Mistral, Gemini and Ollama. AI does not run unless a provider is configured; the default is a mock without network access, and Ollama can run locally. The docTR and PaddleOCR OCR backends are also described as local, keeping documents on the user's machine.

Installation is available through pip and conda. The default pdfium path requires no system libraries on Windows, macOS or Linux, which lowers one setup hurdle across those platforms. The README lists an Odoo OCA module as a user of the tool, a practical point for teams working with that ecosystem.

Pricing

invoice2data costs 0.00 USD per free, with no paid tiers or usage limits stated on the pages reviewed. The MIT License permits use, modification, distribution, sublicensing and sale, subject to its conditions. That makes it attractive for organizations able to own their setup, but the repository invites issues and pull requests rather than describing a paid support plan.

Platforms

The project supports Linux, macOS and Windows, and is self-hosted. Its command-line and Python-library form favors users who can integrate software into their own environment rather than buyers looking for a hosted interface.

Who it's for

Choose invoice2data if you need invoice-specific PDF extraction, want control over fields and matching logic, and can configure and maintain the workflow. Its local OCR options and ability to avoid network use for AI are useful when documents should remain on-machine. Look elsewhere if you need canonical extraction schemas for waybills, delivery notes or purchase orders: those non-invoice document types are deferred.

Pros and cons

Pros: Free under the MIT License, with no stated usage limits; configurable templates and multiple text-extraction backends give technical teams control over invoice fields.
Pros: Optional line-item, table, OCR and AI features broaden extraction choices, while local OCR and Ollama support on-machine processing.
Cons: Template-based extraction places configuration and ongoing rule maintenance on the user.
Cons: Its documented scope centers on invoices, and no paid support plan is described.
Cons: The repository has no SECURITY.md policy set up and publishes no security advisories; organizations should account for that when evaluating their security process.

Alternatives

For a managed invoice OCR API with a published paid entry plan, consider Veryfi Invoices OCR API: its Starter plan is 500.00 USD per month, with a $500/mo minimum commitment and per-invoice charges. Choose it over invoice2data when that API model better fits your workflow and budget.

Invofox may suit teams wanting a broader range of pre-trained document models: its free plan includes 500 pages and models for invoices, receipts, utility bills, tickets and payslips, plus a REST API and community support.

Nanonets Invoice OCR is another option if you want an API and cloud-oriented integrations: its free start includes $50 in credits, followed by $100/month for 100 credits.

If a browser-based email parsing workflow and a small monthly allowance fit better, Parseur offers a free plan with up to 20 pages/month, one user and 90-day document retention.

ABBYY FlexiCapture for Invoices is a paid alternative with pricing by demo and contact.

Webdocs for AP is a paid alternative with pricing by quote.

DocuClipper Invoice Approval may fit buyers seeking invoice approval alongside extraction: its Starter plan costs 20.00 USD per month billed annually and includes 60 pages/month, unlimited users and API access.

ChronoScan AP Invoice Processing is a Windows alternative with a one-time perpetual-license option.

Browse more options in Invoice Processing Software or Invoice OCR Software.

Verdict

invoice2data is a strong fit for technical teams that want free, self-hosted invoice extraction they can shape around their own fields and processing choices. Its configurable templates and local-processing options are the main reasons to choose it. Seek another product if you need a managed service, paid support, or structured extraction for document types beyond invoices.

	FormX Invoice OCR API	invoice2data
Free plan	No	Yes
Free trial	No	No
Paid from	—	Free
Open source	No	No
Platforms	Web	Linux, macOS, self-hosted, Windows
Free plan	No	—
OCR or AI extraction	Yes	Yes
Line-item extraction	Yes	Yes
Accounting integrations	Yes	—

FormX Invoice OCR API vs invoice2data

FormX Invoice OCR API

invoice2data