Reel Knowledge Distiller: Videos to Claims
Pricing
Pay per event
Go to Apify Store
Reel Knowledge Distiller: Videos to Claims
Turn public short videos into transcripts, typed claims, and Markdown notes for research and content teams.
Reel Knowledge Distiller: Videos to Claims
Pricing
Pay per event
Turn public short videos into transcripts, typed claims, and Markdown notes for research and content teams.
Public short-video links we fetch ourselves with yt-dlp — Instagram reels/posts (share → copy link), TikTok videos, YouTube Shorts. No third-party scrapers, no login. Note: Instagram currently serves media only intermittently to non-logged-in clients; failures are reported per row as error_stage: fetch, never faked.
Public URL of a JSON, CSV or text file containing reel/post links (for example an export from your own tooling). Every Instagram/TikTok/YouTube link found in it is added to reelUrls.
Public YouTube channel URLs (e.g. https://www.youtube.com/@Fireship → its Shorts tab) or TikTok profile URLs (https://www.tiktok.com/@handle). Up to resultsLimit latest videos are listed and processed. Instagram handles are DEPRECATED and skipped with a warning: listing an Instagram profile needs a login, and this Actor never calls third-party scrapers — paste the reel links into reelUrls instead.
Cap on how many URLs are processed in one run (1–500). Remaining URLs can be run later; already-processed shortcodes are skipped when you reuse the dataset.
Free text used in the prompt for org_relevance, e.g. "an AI infra startup's GTM team" or "a solo indie-hacker building a SaaS".
Knowledge categories the LLM assigns (1–3 per reel, primary first). Each item: {"id": "gtm-sales", "description": "..."}. Leave empty for the built-in default set (ai-production, ai-architecture, model-research, market-state, gtm-sales, marketing-content, product-design, founder-ops, psychology-research, other). An other category is always appended.
Distillation model. Default (when left blank): the Actor's own inexpensive Bedrock model (nvidia.nemotron-nano-3-30b) — no key needed. Override with any /v1/chat/completions server (provider openai|openai-compatible, baseUrl, model, apiKey stored encrypted).
mode: local (default — faster-whisper runs inside the Actor on CPU, no key; optional model: tiny|base|small, language: ISO code), whisper-api (POST audio to an OpenAI-compatible /audio/transcriptions endpoint you name via baseUrl + openaiApiKey), or none (reels are emitted as no_speech unless a transcript is supplied). The old apify mode is retired.
