Parseur vs Unstract

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.

Unstract is a document processing platform that extracts structured data from unstructured documents and automates document workflows. Prompt Studio uses natural-language instructions to build extraction projects that can be deployed as APIs or ETL pipelines. Agentic Prompt Studio uses multi-agent pipelines to define schemas, create extraction prompts, and validate results across documents. Unstract describes its document processing as document agnostic and says it works without prior training or templates. Human-in-the-loop workflows can route selected documents for review, approval, and validation. LLMChallenge uses two language models to challenge extracted responses; SinglePass and Summarized Extraction are described as ways to reduce token use. Integrations include Anthropic, OpenAI, and Vertex AI models, along with file systems and databases such as Azure Cloud Storage, PostgreSQL, and S3/Minio. Deployment options are managed cloud, on-premise enterprise, and open-source self-hosted editions. The cloud offering says data is encrypted in transit and at rest and is not used for training. The free Open Source plan is self-hosted and limited to one user. Starter costs $499 a month, billed monthly, with 5,000 pages monthly and a 0.10 USD per-page overage.