Audify vs DocsPodcast
Audify
github.comDocsPodcast
github.comSide by side
| Figure | Audify | DocsPodcast |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · AI Podcast Generators | 7.7 (#8) | 7.3 (#18) |
| Data handling | The README says gateway and TTS job metadata use in-memory stores and jobs reset when containers restart unless persistent storage is added. | The README says no user data is sent to third parties beyond AI API calls. |
| Deployment | The project is a FastAPI and React application orchestrated with Docker Compose, with setup instructions for running the stack locally. | The project documents a local setup using Python 3.9 or later and Flask, and links to a live demo. |
| License | The repository is licensed under the MIT License. | The repository states that the project is licensed under the MIT License. |
| Purpose | Audify converts PDF, DOC, and DOCX documents into editable two-speaker podcast scripts and downloadable MP3 audio. | DocsPodcast turns documents into AI-generated multi-speaker podcasts and supports question answering about uploaded files. |
| Security | The maker says Audify lacks production-grade security controls and requires a security review before production use. | The README says API keys are kept in an uncommitted .env file, filenames are sanitized, rendered HTML is sanitized with DOMPurify, and user data is sent to third parties only for AI API calls. |
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.
DocsPodcast
DocsPodcast is a free, MIT-licensed project that turns uploaded documents into AI-generated, multi-speaker podcast conversations and answers questions about their contents. It accepts PDF, DOCX, DOC, and TXT files, with uploads limited to 0.5 MB (512 KB). Its retrieval pipeline stores document chunks in ChromaDB for semantic search and grounds answers in the source material. Podcast scripts support conversations between two and four speakers, combining generated segments into one MP3 file. The documented providers are OpenRouter with GPT-4o-mini, Google Gemini as a fallback, Gemini TTS, and gTTS as a speech fallback. English and Arabic are listed for question answering, scripts, and audio. The responsive interface works on mobile and desktop and renders Markdown tables, code blocks, blockquotes, and lists. Deployment documentation covers local hosting with Python 3.9+ and required OpenRouter and Google Gemini API keys. It is available for self-hosted, web, and Windows use, with a linked live demo.