AI_Skill

Optical Character Recognition (OCR)

Extract readable, structured text from video frames, images, and scanned documents for downstream subtitle and content workflows.

Overview

How it helps

Extract readable, structured text from video frames, images, and scanned documents for downstream subtitle and content workflows.

Capabilities

Extracts on-screen text from video frames with frame-level precision
Supports scanned PDFs and image-based documents
Preserves text position and layout context when required
Handles multilingual text with mixed scripts
Feeds extracted text into subtitle, translation, and alignment pipelines
Operates fully offline with deterministic output

Use Cases

Extracting slide text from recorded presentations

Converting hardcoded subtitles into editable text

Indexing on-screen text for search and navigation

Improving transcription accuracy using visual context

Work with AI you can inspect and control.

  • •Explainable AI decision making
  • •Assists human judgment rather than replacing it
  • •Consistent, reproducible results
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Related Features

Burned Subtitle Extraction

Extract text and timing from hard-coded subtitles embedded in video frames, converting them into editable formats.

Presentation-Aware Transcription

Improve speech-to-text accuracy by incorporating on-screen slide content and presentation context into transcription.

Slide Boundary Detection

Automatically detect slide transitions in presentation videos to segment content with precise temporal boundaries.

Deterministic Translation

Translate subtitles and text content with consistent terminology and repeatable results across projects.