Podcast Helper — universal audio stream consumer exposed as library, argparse CLI, click CLI, FastAPI HTTP surface and MCP tools. URL-in → PCM-out for local files, direct audio URLs, RSS feed enclosures, and yt-dlp-supported sources (YouTube, Vimeo, Twitch, SoundCloud, …). Built on youtube-helper + ffmpeg + feedparser + podcastparser; Shannon-correct resampling, mono downmix or native channels preserved.
Project description
Podcast Helper
Podcast Helper belongs to a collection of libraries called AI Helpers developed for building Artificial Intelligence.
Universal audio stream consumer for podcasts and any audio-bearing URL. URL-in → PCM-out for local files, direct audio URLs (RSS enclosure MP3 / M4A / Opus / WAV / HLS m3u8), RSS / Atom feed URLs (auto-picks the latest episode), and every yt-dlp-supported source (YouTube, Vimeo, SoundCloud, Twitch VOD / live, …). Refuses Spotify-DRM and Apple Podcasts catalog URLs upfront, with clear hints toward the RSS feed workaround.
Documentation
Why it exists
Podcast pipelines (ASR, diarization, summarisation, search indexing) usually start with the same question: "give me a stream of PCM frames from this URL, never mind whether it's a .mp3 link, a feed, a YouTube video, or a podcast hosted on a CDN I've never heard of." This library is that one function — and the small extras around it (feed, latest_episode) that make working with RSS sources friendly.
Installation
Prerequisites — Python 3.10–3.13 and git, ffmpeg, cross-platform:
- 🍎 macOS (Homebrew):
brew install python git ffmpeg - 🐧 Ubuntu/Debian:
sudo apt update && sudo apt install -y python3 python3-pip git ffmpeg - 🪟 Windows (PowerShell):
winget install Python.Python.3.12 Git.Git Gyan.FFmpeg
We recommend using Python environments. Check this link if you're unfamiliar with setting one up: 🥸 Tech tips.
From source
# Core library
pip install "git+https://github.com/warith-harchaoui/podcast-helper.git@v0.3.5"
# Optional surfaces
pip install "podcast-helper[cli] @ git+https://github.com/warith-harchaoui/podcast-helper.git@v0.3.5"
pip install "podcast-helper[api] @ git+https://github.com/warith-harchaoui/podcast-helper.git@v0.3.5"
pip install "podcast-helper[api,mcp] @ git+https://github.com/warith-harchaoui/podcast-helper.git@v0.3.5"
PyPI release coming soon.
This pulls in youtube-helper (and transitively yt-dlp, os-helper, audio-helper, video-helper) plus feedparser + podcastparser for RSS.
Quick start
import asyncio
import podcast_helper as ph
async def main():
# Pass *any* URL — file, direct mp3, RSS feed, YouTube, SoundCloud, Twitch VOD.
async for frame in ph.extract_audio_stream(
"https://feeds.npr.org/510289/podcast.xml", # ← RSS, auto-pick latest episode
target_sample_rate=16000,
to_mono=True,
frame_ms=20,
):
# frame["pcm"]: np.float32 (320,) for 20ms @ 16kHz
# frame["t_abs_s"]: 0.0, 0.02, 0.04, ...
await asr.feed(frame["pcm"])
asyncio.run(main())
For the full catalog of recipes (RSS, yt-dlp sources, live streams, stereo / multichannel, anti-aliasing, downstream ASR / VAD / summarisation pipelines), see 📋 EXAMPLES.md.
What URLs are accepted
| Source | Detection | What happens |
|---|---|---|
Local file / file:// |
path exists on disk OR file:// scheme |
ffmpeg opens it directly. |
Direct audio URL (.mp3, .m4a, .opus, .wav, .m3u8, …) |
URL extension is a known audio container | ffmpeg opens it directly with your headers= if any. |
RSS / Atom feed (.xml, .rss, .atom) |
URL extension is a known feed container | podcastparser (fallback: feedparser) parses it; latest episode's enclosure is fetched. |
| YouTube / Vimeo / SoundCloud / Twitch VOD / Twitch live / … | yt-dlp's extractor identifies it | yt-dlp picks bestaudio*, hands the direct URL + headers to ffmpeg. |
| Generic web URL (anything else) | yt-dlp's generic extractor |
URL used as-is. |
| Spotify (open.spotify.com) | hostname match | NotImplementedError — Spotify audio is DRM-gated. Use the show's RSS feed if it exists. |
| Apple Podcasts (podcasts.apple.com) | hostname match | NotImplementedError — Apple URLs point to the catalog, not the audio. Use the show's RSS feed (linked on the show's site, or via getrssfeed.com / Podcast Index). |
Signal-processing correctness
When target_sample_rate differs from the source rate, the conversion is performed by ffmpeg's libswresample (default) or libsoxr (resample_quality="high"). Both apply an anti-aliasing low-pass filter at the new Nyquist frequency (target_sample_rate / 2) before decimation — satisfying the Shannon-Nyquist sampling theorem. Naïve subsampling is never used.
Channel handling has exactly two modes — no synthetic upmix:
to_mono |
Output shape | What ffmpeg does |
|---|---|---|
True (default) |
(n_samples,) |
Standard downmix (stereo → L+R with -3 dB, 5.1 → ITU mix) |
False |
(n_samples, n_channels) interleaved |
Preserves the source's native channel count |
Working with RSS feeds explicitly
If you want to inspect or select episodes yourself:
import podcast_helper as ph
# Full episode list, most-recent first
episodes = ph.feed("https://feeds.npr.org/510289/podcast.xml", max_episodes=20)
for ep in episodes:
print(ep["published_at"], "—", ep["title"], "—", ep["duration_seconds"], "s")
# Or just the latest one
ep = ph.latest_episode("https://feeds.npr.org/510289/podcast.xml")
print(ep["title"], "→", ep["enclosure_url"])
# Then stream its audio
import asyncio
async def main():
async for frame in ph.extract_audio_stream(ep["enclosure_url"]):
...
asyncio.run(main())
Each Episode dict has a normalised schema regardless of feed flavour:
{guid, title, description, link, published_at (ISO UTC),
duration_seconds, enclosure_url, enclosure_type, enclosure_size_bytes,
image_url}
Multi-surface exposure
podcast-helper exposes the same public functions through four
interchangeable surfaces — pick the one that fits the caller.
| Surface | Entry point | Extra | Best for |
|---|---|---|---|
| Library (async iterator) | import podcast_helper as ph |
— | Python code, notebooks, downstream ASR / VAD / summarisation |
| argparse CLI | podcast-helper |
— (stdlib only) | shell scripts, CI, ffmpeg pipelines |
| click CLI | podcast-helper-click |
[cli] |
click-native shells (bash / zsh completion, colored help) |
| FastAPI HTTP | uvicorn podcast_helper.api:app |
[api] |
HTTP microservices, cross-language callers |
| MCP server | podcast-helper-mcp |
[api,mcp] |
Claude Desktop, MCP-aware agents, IDE integrations |
Install any combination of extras:
pip install 'podcast-helper[cli]' # + click twin
pip install 'podcast-helper[api]' # + FastAPI HTTP surface
pip install 'podcast-helper[api,mcp]' # + MCP tools on top of FastAPI
pip install 'podcast-helper[cli,api,mcp]' # everything
Every surface publishes the same verbs — feed, latest, stream,
record, probe — with identical argument names, so switching
between them is a copy-paste. The Dockerfile in this repo ships the
FastAPI + MCP surfaces on port 8000 out of the box (docker build -t podcast-helper . && docker run --rm -p 8000:8000 podcast-helper).
For an ambitious visual product on top, see GUI.md. For a
competitive comparison against the Python audio / podcast ecosystem,
see LANDSCAPE.md.
Live streams
For YouTube / Twitch live URLs, the resolved direct URL is typically an HLS .m3u8 manifest. extract_audio_stream detects this (is_live=True) and automatically disables -re real-time pacing (the source paces itself). The async iterator runs indefinitely until the live stream ends; callers should break when they're done.
speed != 1.0 for live streams raises ValueError (as of v0.2.0) — you can't fast-forward beyond the live edge. Use speed=... on VOD only.
Roadmap
| Version | Feature |
|---|---|
| v0.1.0 | extract_audio_stream + feed + latest_episode. yt-dlp + ffmpeg + feedparser + podcastparser. |
| v0.2.0 (this release) | record_to="ep.mp3" | ".m4a" | ".opus" | ".ogg" | ".flac" | ".wav" (ffmpeg multi-output: PCM to caller + compressed archive to disk in parallel). speed: float for VOD (raises on live), via atempo= filter (pitch-preserving). |
| v0.3.0 | start_instant / end_instant for VOD seek. apple_podcasts_to_rss(url) via iTunes Search API. Podcast Index API integration. |
| v0.3.0 | apple_podcasts_to_rss(url) via iTunes Search API. Podcast Index API integration. Mic capture moves to capture-helper. |
| v0.4.0+ | Chapters (ID3 CTOC/CHAP, Podcasting 2.0 <podcast:chapters>), transcripts, OPML import/export. |
Author
Acknowledgements
Special thanks to Mohamed Chelali and Bachir Zerroug for fruitful discussions.
License
This project is licensed under the BSD-3-Clause License — see the LICENSE file for details.
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