AI speech-to-text (also called automatic speech recognition or ASR) converts spoken words in video audio into written text, which can then be used as subtitles. Modern ASR models like OpenAI Whisper achieve 95%+ accuracy across 13+ languages, making it possible to auto-generate subtitles for any video in minutes.
Automatic speech recognition has evolved dramatically since the early days of Dragon NaturallySpeaking. Today's neural network models like Whisper are trained on hundreds of thousands of hours of multilingual audio, giving them remarkable accuracy even with accents, background noise, and technical vocabulary. For video subtitling, ASR offers a massive productivity boost: what used to take a professional transcriber 4-6 hours per hour of video now takes 5-10 minutes with AI. The key innovation is that models like Whisper can run entirely on local hardware (like a Mac with Apple Silicon), meaning your audio data stays private and there are no per-minute API costs.
Tips for higher accuracy: 1) Use clean audio with minimal background music/noise, 2) Choose the right model size (larger = more accurate but slower), 3) Set the correct source language rather than relying on auto-detect, 4) For mixed-language content, process each language segment separately, 5) Always review AI output — even 95% accuracy means 1 error per 20 words.
Automatic Speech Recognition (ASR), also called speech-to-text, is AI technology that converts spoken language into written text. OpenAI Whisper is the leading open-source ASR model, supporting 13+ languages.
Whisper large-v3 achieves 95%+ accuracy on clean audio in well-supported languages. Accuracy may be lower for heavily accented speech, noisy environments, or less-common languages. Always review AI-generated subtitles before publishing.
Whisper transcribes all audio in a single stream and doesn't distinguish speakers. For multi-speaker content, you can add speaker labels manually in GeekLink's editor after transcription.
Speech-to-text (ASR) converts audio/spoken words to text. OCR (Optical Character Recognition) reads visual text from video frames. Use ASR when you need to transcribe spoken dialogue; use OCR when subtitles are already burned into the video image.