Mozilla Document-to-Podcast

Windows · Mac · Linux · Self-hosted

Freedom report

Two barsScore 5.5

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely3 of 6 device platforms
DocumentedPlans, terms and facts published

Mozilla Document-to-Podcast is ranked #12 of 23 in AI podcast generators on Freedom251. It runs on Linux, macOS, Self-hosted, Windows.

Compared on AI podcast generators

Host dialogue: Yes
Source imports: PDF, TXT, DOCX, HTML, MD
Audio export: wav

Best Mozilla Document-to-Podcast alternatives

See all 12

Two bars 302 AI Podcast Generator Free tier No. 1Free6.6 Two bars Podhoc Free tier No. 2€19.25/mo6.6 Two bars AnyPod Free tier No. 3Free6.5 One bar AudioPod AI Free tier No. 4$20/mo6.5 One bar Paper2Pod Free tier No. 5$2.99/mo6.5 One bar Sprep Free tier No. 6$36/mo6.4

The record

Purpose: Document-to-Podcast is a Mozilla.ai blueprint that uses open-source models and tools to turn documents into podcasts featuring two speakers.
Local processing: The project is designed to run on local setups without external API calls or GPU access.
Pipeline: The documented workflow extracts and cleans document text, generates a conversational script with a language model, then creates audio with text-to-speech.
Input formats: The CLI accepts PDF, HTML, TXT, DOCX, and Markdown files.
Output files: The CLI saves podcast.txt and podcast.wav in the selected output folder.
Model support: Users can select text-to-text models loadable by llama.cpp and supported text-to-speech loaders; Kokoro-82M is listed as currently supported out of the box.
Customization: Users can customize the script prompt, speakers, voice profiles, and model settings.
Interfaces: The project provides a command-line interface and a Streamlit graphical demo app.
Installation: The project can be installed from PyPI with pip or cloned and installed in editable mode.
Supported operating systems: The stated system requirements list Windows, macOS, and Linux, Python 3.10 or later (3.12 or later for Apple M chips), at least 8 GB RAM, and at least 20 GB disk space.
Privacy: The project describes local processing without external API calls as a way to keep processing local and make it more privacy-friendly.
License: The project is licensed under Apache 2.0.
Support: The documentation directs users to its troubleshooting section and invites questions on Discord.
Usage limit: The CLI may use only a subset of the input when cleaned text exceeds the text model's context-based character limit.

Where it ranks on Freedom251

Best AI Podcast Generators in 2026#12 of 23

Is Mozilla Document-to-Podcast yours?

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.

Claim it free Promote Mozilla Document-to-Podcast

Sources

github.com/mozilla-ai/document-to-podcast· checked 4 Oct 2026
mozilla-ai.github.io/document-to-podcast/step-by-step-guide/· checked 4 Oct 2026
mozilla-ai.github.io/document-to-podcast/cli/· checked 4 Oct 2026
mozilla-ai.github.io/document-to-podcast/customization/· checked 4 Oct 2026
mozilla-ai.github.io/document-to-podcast/getting-started/· checked 4 Oct 2026
mozilla-ai.github.io/document-to-podcast/· checked 4 Oct 2026