Turn Any Document Into a Podcast — 100% Free, Runs on Your Computer
Google’s NotebookLM went viral. Now you can do the same thing — without Google, without paying, without limits.
:world_map: What You’re Walking Away With
A complete list of free tools that turn your PDFs, articles, notes, or websites into realistic two-person podcast conversations. No subscriptions. No “50 free minutes then pay us.” Just yours.
:high_voltage: Why This Actually Matters
You don’t need to mass-produce podcasts to care about this.
→ Learning hack: Paste your textbook chapter, get a 10-minute audio explanation while you commute
→ Content cheat code: Turn your blog post into a podcast episode without recording anything
→ Accessibility win: Make any document listenable for people who can’t or don’t want to read
What These Tools Give You
Two AI voices having a real conversation about your content
Works with PDFs, websites, YouTube videos, plain text, images
Multiple languages supported
Runs 100% on your computer — nothing leaves your machine
Actually free — not “free trial” free
Voices that laugh, sigh, pause, and sound human
Short clips (2-5 min) or full episodes (30+ min)
The Best Options (Ranked by “Just Works” Energy)
Podcastfy — The Easiest Full Solution
What is it?
A Python tool that takes URLs, PDFs, YouTube links, or images and spits out a podcast MP3. One command. Done.
Why it’s the move
Edge TTS mode = completely free (Microsoft’s text-to-speech, no API key needed)
Works with local AI models via Ollama (also free)
Supports 100+ different AI models if you want to experiment
Apache 2.0 license — use it however you want
5,700+ stars on GitHub, actively maintained
The magic command
pip install podcastfy
python -m podcastfy.client –url “your-article.com” –local –tts-model edge
That’s it. PDF in, podcast out.
Links:
GitHub: [Login to see the link]
Docs: [Login to see the link]
Try in browser: [Login to see the link]
:2nd_place_medal: Dia TTS — Best Voice Quality (Sounds Scary Real)
What is it?
A 1.6 billion parameter AI model specifically built to generate realistic conversations. You give it a script with [S1] and [S2] tags, it gives you audio that sounds like two humans talking.
Why it’s insane
One-pass generation — whole conversation rendered at once, not stitched together
Built-in reactions: (laughs), (sighs), (coughs), (clears throat)
Clone any voice from a few seconds of audio
Apache 2.0 license
19,000+ stars — people are obsessed
Example script
[S1] Welcome to the show!
[S2] Thanks for having me. (laughs)
[S1] So let’s talk about why AI is eating the world.
[S2] (sighs) Where do we even start…
Feed that in → get a podcast clip out.
Hardware needs
10GB GPU memory (RTX 3070+ or similar)
Runs at 40 tokens/second on an A4000
No GPU? Use the free HuggingFace demo
:link: Links:
GitHub: [Login to see the link]
Dia2 (streaming version): [Login to see the link]
Try free (no install): [Login to see the link]
Ready-to-use server: [Login to see the link]
:3rd_place_medal: Chatterbox — Beats ElevenLabs in Blind Tests
What is it?
ResembleAI’s open-source voice model. In blind listening tests, 63.8% of people preferred it over ElevenLabs (the $22/month service everyone uses).
Why it matters
MIT license — use commercially, modify, whatever
Emotion control slider (monotone ↔ dramatic)
Tags for reactions: [laugh], [cough], [chuckle]
23 languages supported
Clone voices from 10 seconds of audio
Turbo version: under 200ms latency
Variants
Chatterbox Original: Best quality, emotion control
Chatterbox Turbo: Fastest, paralinguistic tags
Chatterbox Multilingual: 23 languages
:link: Links:
GitHub: [Login to see the link]
Try free: [Login to see the link]
Full server with Web UI: [Login to see the link]
:sports_medal: SurfSense — Full Research-to-Podcast Pipeline
What is it?
NotebookLM + Perplexity + podcast generator combined. Connects to your Notion, Slack, GitHub, Google Drive, emails — then lets you chat with all of it AND turn conversations into podcasts.
Why it’s different
3-minute podcast generated in 20 seconds
Uses Kokoro for local text-to-speech (free)
Works with Ollama (free local AI)
Connects to 20+ services
One Docker command to run everything
Your data never leaves your computer
Links:
GitHub: [Login to see the link]
Website: [Login to see the link]
More Tools Worth Knowing
F5-TTS — Fast Voice Cloning
Clone any voice from 6 seconds of audio
Works in 17 languages
Apple Silicon version runs in 4 seconds on M3 Max
[Login to see the link]
MLX (Mac) version: [Login to see the link]
TTS-WebUI — Test 30+ Voice Models in One Interface
Gradio interface with every major TTS model
Bark, XTTS, Kokoro, F5-TTS, Chatterbox, Dia, Piper, and more
Perfect for comparing which voice sounds best
[Login to see the link]
podcast_tts — Simple Multi-Speaker Generator
Uses ChatTTS (free)
Left/right audio channel separation for speakers
Built-in background music mixing
[Login to see the link]
TTS-Audio-Suite — ComfyUI Node for Visual Workflows
Drag-and-drop podcast creation
Multi-character dialogue with name tags
Can generate 90+ minutes of audio
[Login to see the link]
Mozilla document-to-podcast - common one
Mozilla’s official blueprint
Fully local, no API keys
Good documentation for learning how it works
[Login to see the link]
:rocket: Start Here (Pick Your Path)
“I want this working in 5 minutes”
→ Use Podcastfy with Edge TTS
“I want the most realistic voices possible”
→ Use Dia TTS (need a decent GPU)
“I want to try without installing anything”
→ Dia HuggingFace Space or Chatterbox HuggingFace Space
“I want a full research + podcast workflow”
→ Use SurfSense
“I want to test multiple voice options”
→ Use TTS-WebUI
Google charges nothing for NotebookLM right now because they’re harvesting your documents for training data. These tools give you the same magic while keeping your stuff yours.
Your move. :microphone:
