invoice2data vs Parseur
invoice2data
github.com
Parseur
parseur.comSide by side
| Figure | invoice2data | Parseur |
|---|---|---|
| Price from | Free | $49/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 12 |
| Spec score · Invoice Processing Software | 7.8 (#16) | 8.4 (#8) |
| Spec score · Invoice OCR Software | 8.1 (#14) | 8.7 (#4) |
| Extraction | It extracts PDF text through selectable backends including pdfium, pdftotext, pdfminer, pdfplumber, and OCR tools. | The platform offers Vision AI, Text AI, and template parsing, and can choose an extraction engine for each document. |
| Security | The repository's GitHub security page says no SECURITY.md policy is set up and no security advisories are published. | Parseur says it completed an independent SOC 2 Type II examination in September 2026 and conducts annual third-party penetration testing. |
| 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. | All plans include 24/7 AI and self-service support; paid plans add human chat and email support, while Scale and Enterprise add priority support. |
| Table extraction | Optional plugins support matching invoice line items and tables, including an opt-in Camelot plugin for advanced table parsing. | Parseur extracts repeating rows such as invoice line items, transactions and order details. |
Plans
Parseur
- FreeFree
- Free planFree
- Micro$49 a month
- Mini$89 a month
- Starter$129 a month
- Premium$269 a month
- Pro$499 a month
- 20k$899 a month
- Base tierPrice not published
- EnterprisePriced on request
In their own words
invoice2data
invoice2data is a command-line tool and Python library that extracts structured information from PDF invoices for accounting workflows. It reads invoice text using selectable backends, including pdfium, pdftotext, pdfminer, pdfplumber, and OCR tools. YAML or JSON templates identify fields and can specify custom fields and multiple regular expressions for each one. The command-line tool can export extracted results as CSV, JSON, or XML and rename PDFs based on their contents. Optional plugins support invoice line items and tables, with Camelot available for advanced table parsing. Optional AI features can help draft templates or extract fields when template matching fails. AI does not run unless a provider is configured; the default mock provider has no network access. Listed providers include OpenAI, DeepSeek, Mistral, Gemini, and Ollama, which can run locally. Local OCR options include docTR and PaddleOCR. The project is free under the MIT License, with pip and conda installation routes. It runs on Linux, macOS, Windows, and self-hosted systems.
Parseur
Parseur extracts structured data from PDFs, emails, scans and other documents, then sends it to business tools. Documents can be submitted by email, REST API or drag-and-drop in the web app. Extraction options include Vision AI, Text AI and template parsing, and an engine can be selected for each document. Its OCR supports more than 200 languages and preprocesses scanned documents. Parseur can format and validate extracted fields, with optional Python post-processing for custom logic. Listed integrations include Zapier, Make, Power Automate, n8n and webhooks; exports include Google Sheets, Excel, CSV and JSON. The maker names accounts payable, logistics, human resources and real estate leads as use cases. The free tier allows up to 20 pages per month, one user and 90-day document retention; advanced post-processing is not included. The maker says data is EU-hosted, not used to train AI models serving other customers, and retention can be configured per mailbox down to one day. The site lists paid plans from $49/mo, though displayed Base, Scale and Enterprise tiers have no fixed prices shown.