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DocsPodcast

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What DocsPodcast is

DocsPodcast is a free, MIT-licensed app for turning documents into multi-speaker podcast conversations and asking questions about file contents. It accepts PDF, DOCX, DOC, and TXT files, with uploads capped at 0.5 MB (512 KB). For Q&A, it divides documents into chunks and stores them in ChromaDB for semantic retrieval, so answers are grounded in the uploaded material. Podcast scripts can feature two to four speakers, and the generated segments are combined into an MP3 audio file.

The project describes OpenRouter with GPT-4o-mini as its main text-generation provider and Google Gemini as a fallback. Gemini TTS and Google TTS (gTTS) are listed for voice generation. English and Arabic are supported for questions, scripts, and audio. Its responsive interface is designed for mobile and desktop and can render Markdown tables, code blocks, blockquotes, and lists. The project links to a live demo and documents self-hosting with Python 3.9 or later and Flask. Self-hosting requires OpenRouter and Google Gemini API keys. The README describes protections for keys, filenames, and rendered HTML, and says user data goes to third parties only for AI API calls.

Who it suits

DocsPodcast suits people who want to listen to documents as conversations or ask questions about their contents. It may also suit developers who want an MIT-licensed project they can self-host, provided they have Python 3.9 or later and the required API keys.

What it does well

  • Accepts PDF, DOCX, DOC, and TXT files.
  • Answers are grounded in document content through ChromaDB retrieval.
  • Creates dialogue with two to four speakers and exports MP3 audio.
  • Supports English and Arabic for Q&A, scripts, and audio.
  • Responsive interface renders common Markdown elements.
  • MIT-licensed, with a linked live demo.

What to know first

  • Uploads are limited to 0.5 MB (512 KB).
  • Self-hosting requires Python 3.9 or later and two API keys.

Limits

Uploads are limited to 0.5 MB (512 KB). The documented self-hosted setup requires Python 3.9 or later and OpenRouter and Google Gemini API keys.

Getting started

  1. Visit the DocsPodcast project website or its linked live demo.
  2. For self-hosting, use Python 3.9 or later with Flask.
  3. Provide OpenRouter and Google Gemini API keys for the local setup.
  4. Upload a PDF, DOCX, DOC, or TXT file within the 0.5 MB limit.
  5. Ask questions about the file or generate a multi-speaker podcast.

Verdict

Choose DocsPodcast if you want document-based Q&A alongside generated podcast conversations, or want to self-host an MIT-licensed project. Its small upload ceiling may make it a poor fit for larger files.

Questions

Is DocsPodcast free?

Yes. It is listed as free and open source under the MIT License.

Which document formats does it accept?

It supports PDF, DOCX, DOC, and TXT files. Uploads are limited to 0.5 MB (512 KB).

Which languages does it support?

English and Arabic are listed for Q&A, podcast scripts, and TTS audio.

What AI services does it use?

The README describes OpenRouter with GPT-4o-mini as the primary text-generation provider and Gemini as a fallback. Gemini TTS and gTTS are listed for speech generation.

Can I self-host DocsPodcast?

Yes. The documented local setup uses Python 3.9 or later and Flask, and requires OpenRouter and Google Gemini API keys.

Facts from DocsPodcast's own pages

AI integrations
The documented AI services are OpenRouter with GPT-4o-mini, Google Gemini, Gemini TTS, and Google TTS (gTTS). · github.com, 9 Oct 2026
AI providers
The README describes OpenRouter with GPT-4o-mini as the primary text-generation provider, Gemini as a fallback, Gemini TTS, and gTTS as a TTS fallback. · github.com, 4 Oct 2026
Data handling
The README says no user data is sent to third parties beyond AI API calls. · github.com, 4 Oct 2026
Deployment
The project documents a local setup using Python 3.9 or later and Flask, and links to a live demo. · github.com, 9 Oct 2026
Document formats
It supports PDF, DOCX, DOC, and TXT uploads. · github.com, 9 Oct 2026
Document Q&A
Its RAG pipeline stores document chunks in ChromaDB for semantic retrieval, and answers are grounded in document content. · github.com, 4 Oct 2026
File size limit
The maximum document size is 0.5 MB (512 KB), enforced on both the client and server. · github.com, 9 Oct 2026
Intended audience
The maker describes the project as a way to turn documents into podcasts or chat with files; the repository lists PDF, Word, and text document support. · github.com, 9 Oct 2026
Interface
The README describes a responsive interface for mobile and desktop with a dark theme and rich Markdown rendering. · github.com, 9 Oct 2026
Languages
The README lists English and Arabic for Q&A, podcast scripts, and TTS audio. · github.com, 9 Oct 2026
License
The repository states that the project is licensed under the MIT License. · github.com, 4 Oct 2026
License and contributions
The repository says the project is MIT-licensed and welcomes contributions through pull requests. · github.com, 9 Oct 2026
Podcast generation
It generates natural multi-speaker conversations with 2–4 speakers and combines generated segments into one audio file. · github.com, 4 Oct 2026
Podcast voices
Podcast scripts support conversations between two to four speakers, with Gemini TTS and Google TTS listed as the primary and fallback voice-generation options. · github.com, 9 Oct 2026
Product
DocsPodcast turns documents into AI podcast conversations and supports question answering about their contents. · github.com, 4 Oct 2026
Purpose
DocsPodcast turns documents into AI-generated multi-speaker podcasts and supports question answering about uploaded files. · github.com, 9 Oct 2026
Question answering
Its RAG pipeline stores document chunks in ChromaDB and grounds answers in the document content. · github.com, 9 Oct 2026
Security
The README says API keys are kept in an uncommitted .env file, filenames are sanitized, rendered HTML is sanitized with DOMPurify, and user data is sent to third parties only for AI API calls. · github.com, 9 Oct 2026
Setup
Self-hosting instructions require Python 3.9+ and OpenRouter and Google Gemini API keys. · github.com, 4 Oct 2026

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