Shotcut Revolutionizes Editing with Automatic Voice-to-Text Transcription

Published on January 08, 2026 | Translated from Spanish
Shotcut interface showing the timeline with audio tracks and automatically generated subtitles, with voice transcription settings panel visible.

Shotcut Revolutionizes Editing with Automatic Voice-to-Text Transcription

The video editor Shotcut has integrated a powerful voice-to-text conversion feature that uses artificial intelligence algorithms to automatically transform the audio from your projects into perfectly synchronized subtitles. This innovative tool analyzes the sound tracks and generates timed text files that are directly incorporated into the editing timeline. 🎙️

Intelligent Transcription System Setup

To activate this revolutionary feature, simply select the desired clip in the timeline and access the filters menu, where you will find the specific voice-to-text conversion option. The system offers multiple customizable settings that allow you to select from various languages and regional variants to maximize recognition accuracy.

Available adjustable parameters:
  • Language and regional dialect selection to optimize results
  • Voice recognition sensitivity control
  • Activation or deactivation of automatic punctuation
  • Review and manual editing of the generated text before applying
AI technology not only transcribes words but also identifies speech patterns, dialects, and contexts to improve conversion accuracy

Advantages of AI Processing

The machine learning system built into Shotcut goes beyond simple transcription, identifying complex speech patterns, specific dialects, and conversational contexts to continuously refine its accuracy. The platform learns from manual corrections you make, increasing its efficiency with each successive use.

Main benefits of automation:
  • Significant time savings compared to traditional manual transcription
  • Increasing accuracy thanks to continuous machine learning
  • Ideal for projects with extensive dialogued content
  • Direct integration into the editing workflow

Considerations on System Accuracy

Although the recognition technology demonstrates remarkable accuracy in most cases, occasionally funny errors can occur when it confuses phonetically similar words. These moments create hilarious subtitles that seem straight out of a game of telephone, where phrases like "let's record" can turn into "let's cry," completely altering the tone of serious productions. However, these situations are becoming less frequent thanks to continuous improvements in AI algorithms. 🎬