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Audify vs PersonaPod

Audify

github.com

PersonaPod

github.com

Side by side

FigureAudifyPersonaPod
Price from——
Free plan——
Free trial——
Open source——
WebYesYes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published00
Spec score · AI Podcast Generators7.7 (#8)7.3 (#19)
IntegrationsThe documented external providers are Ollama for local model inference and OpenAI for TTS and optional LLM fallback.The README describes Cloudflare R2 for hosting, Docker for AI services, MaskGCT for text-to-speech, and llama.cpp for local language model inference.
Intended useThe project is described as an AI-assisted document-to-audio generator, and its disclaimer advises reviewing scripts and audio and checking OCR output.The README describes PersonaPod as a hobby project and says it is not intended for commercial or real-world applications without further testing and development.

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.

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PersonaPod

PersonaPod has no write-up on Specifiction yet; its figures are above.

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