DocsGPT

DocsGPT

Arc53
pdf2docx

pdf2docx

Artifex
+
+

Related Products

  • StackAI
    55 Ratings
    Visit Website
  • MobiOffice
    15,853 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • Foxit Document Workflow APIs
    8 Ratings
    Visit Website
  • Virtuoso QA
    131 Ratings
    Visit Website
  • ONLYOFFICE Docs
    715 Ratings
    Visit Website
  • SmartDraw
    573 Ratings
    Visit Website
  • kama.ai
    9 Ratings
    Visit Website
  • Hyperproof
    350 Ratings
    Visit Website
  • JAMS Scheduler
    285 Ratings
    Visit Website

About

DocsGPT is an open-source platform for private AI agents, assistants and enterprise search over an organisation's own documents, built by Arc53. It runs where the data is allowed to be: Arc53's EU cloud, a dedicated managed instance, the organisation's own servers, or fully air-gapped with no outbound traffic. Teams connect files and services (PDF, DOCX, XLSX, scanned documents with OCR, Google Drive, SharePoint, Confluence, GitHub, S3) and get answers cited to the source passage. Agents call tools and APIs with per-action approval, a visual builder turns document jobs into workflows, and agents can produce DOCX, XLSX, PPTX and PDF files. Any model works: OpenAI, Anthropic, Google and others in the cloud, or local models through Ollama or vLLM. Governance covers OIDC SSO, SCIM 2.0, role-based access, guardrails, usage quotas and an exportable, append-only audit log. MIT licence, 18,000+ GitHub stars.

About

pdf2docx is a Python library that uses PyMuPDF to extract data from PDF files, parse their layouts according to rules, and generate corresponding .docx files via python-docx. It supports conversion of text, images, tables, and other structural elements; it includes tools to extract tables, handle formatting, and preserve layout as much as possible. It offers both a command-line interface and a graphical user interface. The internal architecture is modular; it includes packages for handling pages, layout, tables, images, shape paths, text spans/blocks, and other elements, enabling fine control over how PDF content is mapped into Word documents. Developers can use the API for batch conversions or integrate it into workflows; there's documentation on installation (from PyPI or source), usage, and technical details of layout-parsing, table extraction, and internal modules. The project is open source, hosted on GitHub, and made available under its license with no warranty.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organisations that need AI over their own documents with control over where the data lives: regulated industries, public sector, IT and engineering teams.

Audience

Technical users seeking a solution to convert PDF documents into Word format programmatically while preserving layout, tables, images, and text structure

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$20/seat/month (Cloud); self-h
Self-hosted: free (open source, MIT). Cloud: free tier, then $20/seat/month. Managed: from $2,000/month. On-premises and Air-gapped: from $10,000, one-time or recurring.
Free Version Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

Arc53
Founded: 2019
Edinburgh, United Kingdom
www.docsgpt.cloud/

Company Information

Artifex
Founded: 1993
United States
pdf2docx.readthedocs.io/en/latest/

Alternatives

Alternatives

PDF Conversa

PDF Conversa

ASCOMP Software
Collabio

Collabio

Collabio Spaces
AnyParser

AnyParser

CambioML
ip·Solis

ip·Solis

XenPool GmbH
PDF.co

PDF.co

ByteScout

Categories

AI Productivity Supported
AI Summarizers Supported
AI Text Generators Supported
AI Tools Supported
AI Writing Supported

Categories

PDF Supported

Integrations

GitHub Supported
Apache Sentry Supported
Azure OpenAI Service Supported
Claude Supported
ClickUp Supported
Confluence Supported
Datadog Supported
Discord Supported
Gemini Supported
Groq Supported
Linear Supported
Microsoft OneDrive Supported
Milvus Supported
MongoDB Atlas Supported
OpenAI Supported
PyMuPDF Not Supported
PyPI Not Supported
Qdrant Supported
Telegram Supported
vLLM Supported

Integrations

GitHub Supported
Apache Sentry Not Supported
Azure OpenAI Service Not Supported
Claude Not Supported
ClickUp Not Supported
Confluence Not Supported
Datadog Not Supported
Discord Not Supported
Gemini Not Supported
Groq Not Supported
Linear Not Supported
Microsoft OneDrive Not Supported
Milvus Not Supported
MongoDB Atlas Not Supported
OpenAI Not Supported
PyMuPDF Supported
PyPI Supported
Qdrant Not Supported
Telegram Not Supported
vLLM Not Supported
Claim DocsGPT and update features and information
Claim DocsGPT and update features and information
Claim pdf2docx and update features and information
Claim pdf2docx and update features and information