Invofox vs invoice2data

Invofox extracts structured information from PDFs, images, and scanned files, returning JSON through an API. Its pipeline handles OCR, document splitting and classification, field extraction, schema mapping, validation, and webhook delivery. Custom schemas let teams map extracted fields to their own data models. Invofox reports 99.2% document extraction accuracy and says reported mistakes are automatically credited back. Zapier can route extracted data to more than 9,000 apps, including Google Drive and Google Sheets. Invofox states that it complies with SOC 2 Type II, ISO 27001, GDPR, and HIPAA, and encrypts data in transit with TLS 1.3 and at rest with AES-256. Cloud is the default deployment. Zero retention is an opt-in for Scale and Enterprise, while on-premise deployment is reserved for Enterprise. The Free plan covers 500 pages and includes pre-trained models for invoices, receipts, utility bills, tickets, and payslips. Starter costs $500 a month, billed annually, for up to 5,000 pages per month. Scale and Enterprise have custom pricing.

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.