ffmpeg-ocr-logo

You can perform OCR on video frames and remove recurring watermarks by running the included ocrlogo.py script, which drives an FFmpeg pipeline to extract text metadata and apply delogo or removelogo filters for cleanup.

Yes, you can extract in-frame OCR text and decode QR payloads from live streams within a single FFmpeg pipeline by utilizing the provided scripts that combine these operations without requiring separate tools.

Yes, you need to build FFmpeg from source with specific support for OCR, libquirc, or libqrencode to successfully execute text extraction, QR encoding, and QR decoding within your video processing workflows.

The best way to combine logo removal and text extraction is using a single FFmpeg command orchestrated by the provided scripts, which apply guards and fallbacks to ensure smooth workflow execution.

FFmpeg QR code reading may fail if your build lacks libquirc support, or if the script's fallback mechanisms are triggered by unreadable frames, preventing successful payload extraction from the video.

Yes, the Skill supports QR encoding to embed payloads directly into video frames, enabling pipeline tracing and ad-insertion cues across both pre-recorded footage and live streams.