invoice2data
No phone app
6.0No. 18 of 28
in Invoice Processing Software
in Invoice Processing Software
- Recognised40% of the score7
- Phone app26% of the score0
- Documented20% of the score86
- Free plan14% of the score100
- Free plan
- Yes
- Runs on
- Linux, Mac, self-hosted, Windows
Summary
invoice2data is ranked #18 of 28 in invoice processing software on Samsung Mobile US Press. It runs on Linux, macOS, Self-hosted, Windows. There is a free plan.
invoice2data plans and pricing
All plansinvoice2data Free No paid tiers or usage limits stated on the pages reviewed github.com · 4 Oct 2026
Compared on invoice processing software
- Line-item extraction
- Yesgithub.com
Facts
- Purpose
- invoice2data is a command-line tool and Python library that extracts structured information from PDF invoices for accounting workflows.github.com · 4 Oct 2026
- Extraction
- It extracts PDF text through selectable backends including pdfium, pdftotext, pdfminer, pdfplumber, and OCR tools.github.com · 4 Oct 2026
- Templates
- It matches extracted text against YAML or JSON templates that can define custom fields and multiple regexes per field.github.com · 4 Oct 2026
- Outputs
- The command-line tool can write extracted results as CSV, JSON, or XML and can rename PDF files to match their contents.github.com · 4 Oct 2026
- Table extraction
- Optional plugins support matching invoice line items and tables, including an opt-in Camelot plugin for advanced table parsing.github.com · 4 Oct 2026
- AI options
- Optional AI features can draft templates from sample documents or extract fields as a fallback when templates do not match.invoice2data.readthedocs.io · 4 Oct 2026
- AI providers
- The opt-in AI layer lists OpenAI, DeepSeek, Mistral, Gemini, and Ollama providers; Ollama can run locally without sending data off the machine.invoice2data.readthedocs.io · 4 Oct 2026
- Privacy behavior
- The default AI provider is a mock with no network access, and the docs say no AI runs unless a provider is configured.invoice2data.readthedocs.io · 4 Oct 2026
- OCR privacy
- The installation guide describes docTR and PaddleOCR as local OCR backends that keep data on the user's machine.invoice2data.readthedocs.io · 4 Oct 2026
- Installation
- The docs provide pip and conda installation, and state the default pdfium path needs no system libraries on Windows, macOS, or Linux.invoice2data.readthedocs.io · 4 Oct 2026
- Integration
- The project README lists an Odoo OCA module as a user of invoice2data.github.com · 4 Oct 2026
- License
- The repository publishes invoice2data under the MIT License, which permits use, modification, distribution, sublicensing, and sale subject to its conditions.github.com · 4 Oct 2026
- Support
- The repository invites issues and pull requests, and links to a contributor guide; it does not describe a paid support plan on the pages reviewed.github.com · 4 Oct 2026
- Known scope limit
- The README says canonical schemas for non-invoice documents such as waybills, delivery notes, and purchase orders are deferred.github.com · 4 Oct 2026
- Security
- The repository's GitHub security page says no SECURITY.md policy is set up and no security advisories are published.github.com · 4 Oct 2026
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Sources
- github.com/invoice-x/invoice2data· checked 4 Oct 2026
- invoice2data.readthedocs.io/latest/ai.html· checked 4 Oct 2026
- invoice2data.readthedocs.io/latest/installation.html· checked 4 Oct 2026
- github.com/invoice-x/invoice2data/blob/master/LICE· checked 4 Oct 2026
- github.com/invoice-x/invoice2data/security· checked 4 Oct 2026



