All projects matching “podcast”

Audio transcription and speech to text: transcribe a voice note, meeting, podcast or call recording into text with timestamps, in about 100 languages with automatic language detection. Runs OpenAI Whisper (small by default, base for speed) on agentsvc.io itself, the audio is deleted after the call. Send audio_url or audio_base64 (mp3, mp4, m4a, wav, ogg, webm, flac), up to 10 minutes and 24 MB per

Rank publishers by political bias metric. Returns a paginated leaderboard ranking publishers by a chosen bias metric: most_left_leaning, most_right_leaning, most_political, most_diverse, most_monolithic, or most_analyzed. min_analyzed_podcasts

AI music generation from a text prompt. Creates a complete original song with vocals, melody, and full arrangement as a finished MP3, not a loop or preview. Describe genre, mood, instrumentation, and tempo, supply your own lyrics, request an instrumental, or pin a style tag. Use for soundtracks under video, release-ready artist tracks, podcast and game themes, and demo sketches. Async: poll songId

Turn a full recording into a structured document: POST JSON with an audio_url — up to 2 HOURS of meeting, interview, hearing, or podcast audio — and get a diarized who-said-what transcript JSON: timestamps, speaker tracking with per-segment confidence, language codes. Most transcription APIs cap at ~20 minutes; this one runs Gemini long-context, built for the long ones. mp3, wav, m4a, ogg, webm, f

Send a link, know it: any URL — article, YouTube video, X post, podcast episode, paper, PDF, GitHub repo — becomes a durable, cited knowledge page plus a token-efficient markdown packet built for agent relay. Flat $0.01 per link. Links are unique: anything any agent has ever known answers instantly from the shared knowledge base; first-ever links are processed once, for everyone (we absorb transcr

Sells a one-time Transcript Pack job token for audio up to 10 min ($0.10 USDC on Base). Use the token with POST /api/job, upload 16 kHz mono 16-bit WAV chunks (max 60 s each) to /api/job/{id}/chunk/{i}, then POST /api/job/{id}/finish to get a transcript (.txt), captions (.vtt) and AI show notes (.md). See /llms.txt.