Audify vs Podframes
Audify
github.comPodframes
github.comSide by side
| Figure | Audify | Podframes |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · AI Podcast Generators | 7.7 (#8) | 7.0 (#23) |
| License | The repository is licensed under the MIT License. | The public repository is licensed under Apache-2.0. |
| Purpose | Audify converts PDF, DOC, and DOCX documents into editable two-speaker podcast scripts and downloadable MP3 audio. | Podframes turns a topic into a two-host video podcast with AI avatars, mixed voices, lip-synced clips, and timed captions. |
| Requirements | The setup instructions require Docker Engine 24.x or later and Docker Compose Plugin v2 or later; an OpenAI API key is required for TTS, while Ollama is optional. | The quickstart lists Node.js 22 or later, pnpm, ffmpeg, and API keys for the services used. |
| Workflow | Users upload a document, review and edit the generated dialogue, choose voices, then play or download the finished episode. | Its pipeline writes a script with Gemini, creates speech through Speechbase, animates host avatars, adds optional B-roll, and renders a captioned MP4. |
In their own words
Audify
Audify is a free, open-source application that turns PDF, DOC and DOCX files into editable two-speaker podcast scripts and downloadable MP3 episodes. It extracts document text and can use OCR when a scanned PDF yields little text. Users review and revise speaker turns, wording and flow, choose host and guest voices, and select conversational, educational or professional tones before generating audio. Ollama is the primary script-generation route, with OpenAI as a fallback; an OpenAI API key is required for text-to-speech, while Ollama is optional. The TTS service creates speech for dialogue turns, combines it into MP3, and supports playback and download. Audify uses FastAPI microservices with a React and Vite frontend and is orchestrated for local Docker Compose deployment. Its API handles uploads, generation, job status and downloads. Docker Engine 24.x or later and Docker Compose Plugin v2 or later are required. Uploads are limited to 10 MB, and jobs reset after container restarts unless storage is added.