Documente

By Documente

Turn scanned and digital documents into structured, searchable data using AI extraction.

Document ExtractionOCRAI SearchData Entry Automation
Overview

What is Documente?

Documente is an AI document processing tool from Envistudios that turns scanned and digital documents into structured data. It extracts text, tables, and key-value pairs from PDFs, Word files, and images, with OCR for scanned files, tagging, search, and natural language querying. A RESTful API sends extracted data to databases or business applications. Healthcare, retail, and general business teams use Documente to reduce manual data entry from invoices, contracts, and customer records.

Best for
Operations TeamsHealthcare AdministratorsRetail Back OfficesSmall Business OwnersData Entry Teams
Product snapshot
Category
Data Extraction & Collection
Best for
Document data extraction
Deployment
Cloud / On-premise
Free trial
Yes (free plan)
Integrations
RESTful API
AI features
Yes
Key features

Key features of Documente

AI text extraction

Extracts text, tables, and key-value pairs from business documents.

OCR for scans

Reads scanned files and images so their content becomes searchable data.

Natural language querying

Lets users ask questions about document contents in plain English.

Tagging and search

Organizes documents with tags and finds them quickly through search.

Batch processing

Handles many files at once to speed up document intake.

REST API

Sends extracted data to databases, CRMs, and other business applications.

Reviews

Documente reviews

Overall

Nobody has reviewed

What users like

  • Free plan available to start
  • Natural language document querying
  • Handles scans and digital files
  • Cloud and on-premise options

What users dislike

  • No named third-party integrations
  • Paid plan details not published
  • Interface available in English only
  • Support limited to email

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Integrations

Documente integrations

Documente connects to other systems mainly through its RESTful API, which lets developers send extracted text, tables, and key-value pairs into databases, CRM platforms, or internal applications. This makes it practical for teams that want document data to land directly in the tools where they manage customers, contracts, or orders, rather than copying values by hand. Envistudios describes support for automating data delivery into business applications and custom workflows, but it does not publish a list of named prebuilt connectors. Teams planning a rollout should confirm which target systems are supported and whether any connector work is needed on their side.

FAQ

Frequently asked questions about Documente