Podcast Production Platform

Part of the worlds-biggest-software-project initiative.

An open, AI-native end-to-end platform for recording, editing, transcribing, hosting, and distributing podcasts.

Podcast Production Platform is a candidate open-source alternative to the consolidating SaaS landscape of podcast tools. It targets independent creators, branded podcast producers, internal communications teams, and media companies who need a single workflow that spans recording, editing, show notes, transcription, and distribution — without lock-in to a single vendor.

Why Podcast Production Platform?

The leading all-in-one tools (Riverside, Descript, Zencastr) are proprietary SaaS at $19–$50/month per seat, and recent acquisitions (Descript and Zencastr by Spotify) signal accelerating platform consolidation.
Open-source incumbents like Audacity and Ardour are powerful editors but offer no recording-to-distribution workflow, no hosting, no transcription, and no AI automation.
Specialised tools fragment the workflow: Auphonic handles mastering, Podsqueeze handles repurposing, Buzzsprout handles hosting — creators must stitch them together themselves.
AI features (show notes, chapters, social clips, filler-word removal) are now table stakes in 2026 but are gated behind paid tiers in every commercial offering.
No strong open-source option exists for privacy-first, self-hosted podcast production, leaving organisations that avoid SaaS underserved.

Key Features

Recording and Capture

Multi-track local recording with separate audio and video per participant
Lossless capture during recording with upload after the session to preserve fidelity
Support for video podcasts alongside audio
Cloud storage with persistent episode library and version control

Editing and Post-Production

Timeline editing for trim, cut, mix, and arrange operations
AI audio enhancement: noise removal, filler-word cleanup, volume balancing
Loudness normalisation targeting LUFS standards for Apple, Spotify, and YouTube
Spoken-word-optimised defaults for EQ and levelling
Transcript-based editing as a longer-term goal

AI Content Generation

Automatic transcription with searchable indexing
AI-generated show notes, chapters, and summaries
Social clip generation in vertical, square, and landscape formats for TikTok, YouTube Shorts, and Instagram Reels
Automated metadata: titles, descriptions, episode artwork prompts

Distribution and Hosting

RSS feed generation and management
One-click distribution to Apple Podcasts, Spotify, YouTube, and other major directories
Podcast 2.0 namespace support for chapters, transcripts, and value4value
Metadata and tagging for episode title, description, artwork, and guest info

Analytics and Audience

Episode downloads, listener geography, and basic engagement tracking
Guest management with contact details and appearance history
Backlog: longitudinal theme tracking and engagement-pattern analysis

AI-Native Advantage

The platform treats AI as a core part of the production pipeline rather than a paid add-on. One-click post-production ingests raw audio and applies noise removal, loudness normalisation, silence trimming, and filler-word removal without a human touching a timeline. Show notes and chapters are generated automatically from transcripts in the creator's established voice. AI clip selection identifies the most shareable 30–90 second moments and exports them per-platform. A guest research assistant briefs the host before recording, and cross-episode semantic search lets producers and listeners find any statement across an entire back-catalogue by meaning rather than keyword.

Tech Stack and Deployment

The project is intended to support self-hosted deployment for organisations that need full data ownership, alongside a managed cloud option for creators who want zero-ops. Distribution builds on open standards: RSS 2.0 with the Podcast Namespace, Podcast 2.0 extensions, MP3 and AAC encoding, ID3 tagging, and EBU R128 / ATSC A/85 loudness targets. Integration points include direct publishing to Apple Podcasts, Spotify, and YouTube, plus webhooks and a REST API for custom workflows.

Market Context

The global podcasting market is valued between $32–62 billion in 2026 depending on scope, with the podcast hosting software sub-segment alone estimated at roughly $420 million in 2024 and projected to reach $1.2 billion by 2033 at 12.5% CAGR (Verified Market Reports, 2026). Incumbent pricing for all-in-one tools sits in the $19–$45/month range, with Descript Pro at $35/month and Enterprise at $50/month. Primary buyers are independent creators monetising audiences, branded podcast producers at marketing agencies, internal learning and communications teams, enterprise thought leadership teams, and media companies managing large show catalogues.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.