AutoShow vs Podflow

AutoShow is a free, MIT-licensed full-stack application for AI processing of audio and video. It accepts direct uploads and can extract audio from YouTube videos and streaming platforms. Transcription options include Groq Whisper, DeepInfra, YouTube Captions, and HappyScribe, with automatic speaker diarization. OpenAI GPT, Claude, and Google Gemini can produce episode descriptions, summaries, and chapters. The project also documents text-to-speech with OpenAI or ElevenLabs voices, generated cover images, and background music through ElevenLabs. It is available as a web interface, API, or self-hosted deployment, with Docker support and localhost:4321 as the documented local address. API endpoints cover health checks, jobs, models, processing, uploads, and media processing. Production documentation describes source-URL SSRF validation, USD cost estimates before jobs, structured JSON logs, and optional HTTP log forwarding. Google Drive OAuth setup remains manual.

Podflow is a web-based tool for podcast hosts that turns episodes into show notes and marketing content. After uploading an episode and identifying its speakers, users can publish SEO-oriented show notes, timestamped outlines, title suggestions, quotes, blog articles, guest introductions, social posts, and transcripts. Transcripts include timestamps and speaker detection. Pro Sound Studio, included in all plans, uses noise removal and volume leveling to enhance audio. Podflow accepts audio and video uploads in the listed formats, including MP3, WAV, MP4, and MOV; there is no stated episode-duration cap, though file size limits apply. The free plan provides one credit per month without requiring card details, and a free trial is listed. Paid plans start at $23 a month, billed monthly, for 8 uploads. Other listed monthly plans range from 10 to 60 uploads, while Enterprise pricing is custom. Users can also pay per upload for usage beyond their subscription limit. Podflow provides a Help Center and support chat.