UNESCO PDF-to-Podcast
No phone app
5.5No. 22 of 23
in AI Podcast Generators
in AI Podcast Generators
- Recognised40% of the score4
- Phone app26% of the score0
- Documented20% of the score99
- Free plan14% of the score30
- Free plan
- No
- Runs on
- Linux, Mac, self-hosted, Windows
Summary
UNESCO PDF-to-Podcast is ranked #22 of 23 in AI podcast generators on Samsung Mobile US Press. It runs on Linux, macOS, Self-hosted, Windows.
Compared on AI podcast generators
- Free plan
- Nogithub.com
- Host dialogue
- Yesgithub.com
- Source imports
- PDF documentsgithub.com
- Voice cloning
- Yesgithub.com
- Audio export
- wavgithub.com
Facts
- Purpose
- The project converts scientific PDFs into podcast-style audio conversations using AI.github.com · 4 Oct 2026
- PDF processing
- Its pipeline extracts structured PDF content, generates a conversational script, and synthesizes podcast audio.github.com · 4 Oct 2026
- Models and tools
- The pipeline uses Docling for PDF extraction, Ollama with Granite4 for script generation, and VibeVoice for audio synthesis.github.com · 4 Oct 2026
- Audience options
- Scripts can be tailored for experts, the general public, young people, or novices.github.com · 4 Oct 2026
- Languages
- The project supports script generation in UNESCO’s six official languages: English, French, Chinese, Spanish, Arabic, and Russian.github.com · 4 Oct 2026
- Voice availability
- English and Chinese have included native voices; French, Spanish, Arabic, and Russian fall back to English voices unless users add their own samples.github.com · 4 Oct 2026
- Podcast controls
- Users can set a target duration and select between two and four speakers.github.com · 4 Oct 2026
- Installation
- The project requires Python 3.9 or later, Poetry, and Ollama, and recommends a GPU while allowing a CPU fallback.github.com · 4 Oct 2026
- Local setup
- The README provides installation instructions for macOS and Linux.github.com · 4 Oct 2026
- Notable limits
- The README says the project currently handles one PDF at a time, long PDFs may need chunking, and audio generation needs significant GPU memory, especially with the 7B model.github.com · 4 Oct 2026
- Support
- The project points users to GitHub Issues, Discussions, and wiki documentation for support.github.com · 4 Oct 2026
- License
- The repository’s LICENSE file identifies the project license as MIT.github.com · 4 Oct 2026
- Maker profile
- The UNESCO GitHub profile describes its code repository as an open-source hub for education, science, culture, and sustainable development.github.com · 4 Oct 2026
- Pipeline
- Its pipeline extracts PDF content, generates a conversational script, and synthesizes podcast audio.github.com · 4 Oct 2026
- Integrations
- The documented pipeline uses Docling for PDF extraction, Ollama with Granite4 for script generation, and VibeVoice for audio synthesis.github.com · 4 Oct 2026
- Audiences
- Scripts can be tailored for experts, the general public, young people, or novice audiences.github.com · 4 Oct 2026
- Voice support
- The README says English and Chinese have included native voices, while French, Spanish, Arabic, and Russian fall back to English voices unless users add voice samples.github.com · 4 Oct 2026
- Audio controls
- Users can set podcast duration and choose 2–4 speakers; the default duration is 10 minutes and default speaker count is 2.github.com · 4 Oct 2026
- Install and run
- The maker documents installation with Poetry or pip in a Python environment and running the pipeline from the command line.github.com · 4 Oct 2026
- Requirements
- The README lists Python 3.9 or newer, Poetry, and Ollama as prerequisites, and recommends a GPU while allowing CPU fallback.github.com · 4 Oct 2026
- Limits
- The project currently accepts a single PDF at a time, with batch processing described as planned; long PDFs may need chunking.github.com · 4 Oct 2026
- Hardware
- The README warns that audio generation requires significant GPU memory, especially with the optional 7B model.github.com · 4 Oct 2026
- Security
- The README describes a local Ollama-based script-generation setup and makes no specific security certification or compliance claim.github.com · 4 Oct 2026
- License and maturity
- The repository labels the project MIT License (TBD) and identifies version 0.2.0 as MVP Complete.github.com · 4 Oct 2026
- Maker
- The project’s pyproject.toml lists UNESCO Data & AI as its author contact.github.com · 4 Oct 2026
Best UNESCO PDF-to-Podcast alternatives
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Where it ranks on Samsung Mobile US Press
- Best AI Podcast Generators in 2026#22 of 23
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Sources
- github.com/unesco/pdf-to-podcast· checked 4 Oct 2026
- github.com/unesco/pdf-to-podcast/blob/main/LICENSE· checked 4 Oct 2026
- github.com/unesco· checked 4 Oct 2026
- github.com/unesco/pdf-to-podcast/blob/main/pyproje· checked 4 Oct 2026