Video frames for AI vision models
Prepare compact WebP frames with timecodes to feed GPT, Claude or Gemini vision for video understanding.
Input
Output fields
Sign up on Apify or log in
The Video Frame Extractor: Thumbnails, Scenes, Keyframes, Timecodes Actor is ready to run with the inputs already set for "Video frames for AI vision models". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Video frames for AI vision models" task
The Video Frame Extractor: Thumbnails, Scenes, Keyframes, Timecodes Actor will start running based on the input automatically. You can also change all the input fields, like video urls, mode, and more, to match your specific use case.
Receive the "Video frames for AI vision models" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as video, duration, s, frames, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Video frames for AI vision models" task via API.
