Hyperscience Hypercell vs Parseur

Hyperscience Hypercell has no write-up on Specifiction yet; its figures are above.

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.