DocsPodcast vs Sprep
DocsPodcast
github.comSprep
sprep.chSide by side
| Figure | DocsPodcast | Sprep |
|---|---|---|
| Price from | — | $36/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 0 | 4 |
| Spec score · AI Podcast Generators | 7.3 (#18) | 7.6 (#10) |
| Languages | The README lists English and Arabic for Q&A, podcast scripts, and TTS audio. | Sprep says it generates audio in more than 70 languages from a validated master script. |
| Purpose | DocsPodcast turns documents into AI-generated multi-speaker podcasts and supports question answering about uploaded files. | Sprep turns uploaded documents such as PDFs, presentations, and articles into editable AI-generated podcasts. |
| Security | 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. | The company says Enterprise customers can choose Swiss hosting, SSO, and dedicated infrastructure, and describes the service as GDPR compliant. |
Plans
In their own words
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.