What Is AI Transcription?
AI transcription converts spoken audio into written text using machine learning models trained on vast amounts of speech data. SoundWorks integrates OpenAI’s Whisper models — widely regarded as the most accurate open-source speech recognition system available — and runs them entirely on your local hardware.
Import any audio or video file, select a Whisper model size, and get accurate transcripts in minutes. SoundWorks supports multiple languages, generates timestamps, and exports in SRT, VTT, and plain text formats. No internet connection required, no audio uploaded anywhere.
Why Choose SoundWorks Transcription?
State-of-the-art accuracy. Whisper models deliver over 95% accuracy on clean recordings. SoundWorks supports all model sizes from tiny (fast) to large-v3 (most accurate), so you can balance speed and precision.
Process audio fast. With GPU acceleration, transcribe hours of audio in minutes. Even in CPU mode, SoundWorks handles transcription efficiently with optimized inference.
Complete privacy. Your audio never leaves your device. Transcribe confidential meetings, legal recordings, medical dictation, and sensitive interviews without any data exposure.
Multiple languages. Whisper supports over 90 languages with automatic language detection. Transcribe multilingual content without switching tools or configuring language settings.
Flexible export. Export transcripts as SRT subtitles, VTT captions, or plain text. Use timestamps for video captioning or strip them for clean text output.
What You Can Do
Transcribe podcast episodes. Convert entire podcast episodes to text for show notes, blog posts, or accessibility. Process multiple episodes in sequence.
Create video captions. Generate accurate subtitles for YouTube videos, social media content, and presentations. Export as SRT or VTT for direct upload.
Transcribe interviews and meetings. Convert recorded interviews, client calls, and meeting recordings into searchable text documents.
Generate meeting notes. Transcribe recorded meetings and extract key points. Create text records of discussions for team reference.
Build searchable audio archives. Transcribe large audio collections to make them searchable by keyword. Useful for journalists, researchers, and content libraries.
Accessibility compliance. Generate accurate captions for video content to meet accessibility requirements. Support hearing-impaired audiences with quality transcripts.
How It Works
Step 1: Import audio or video. Drag and drop any audio or video file into SoundWorks. Supported formats include MP3, WAV, FLAC, MP4, MKV, and dozens more.
Step 2: Choose your model. Select a Whisper model size. Smaller models are faster; larger models are more accurate. SoundWorks downloads models automatically on first use.
Step 3: Transcribe. Click transcribe and let the AI process your audio. Progress is shown in real time. GPU acceleration provides the fastest results.
Step 4: Review and export. Review the transcript in SoundWorks, make any corrections, and export in your preferred format — SRT, VTT, or plain text.
Private by Design
Audio recordings often contain sensitive content — private conversations, confidential business discussions, medical information, or creative work under NDA. Cloud transcription services require you to upload this audio to remote servers.
SoundWorks runs Whisper models directly on your computer. Audio files are read from your disk, processed in memory, and results are saved locally. No network requests are made during transcription. This makes SoundWorks suitable for GDPR-sensitive workflows, legal transcription, and any scenario where audio confidentiality matters.
Frequently Asked Questions
How accurate is the transcription? Accuracy depends on the model size and audio quality. The large-v3 model typically achieves over 95% accuracy on clear recordings. Background noise, overlapping speakers, and low audio quality reduce accuracy.
What languages are supported? Whisper supports over 90 languages including English, Spanish, French, German, Mandarin, Japanese, Arabic, and many more. Language is detected automatically or can be set manually.
Can it detect multiple speakers? Whisper itself does not perform speaker diarization (identifying who is speaking). However, it transcribes all speech accurately. Speaker labeling can be done manually in the transcript editor.
How fast is the transcription? On an NVIDIA RTX GPU, a one-hour audio file typically transcribes in 5 to 15 minutes depending on the model size. CPU mode is slower but works on any hardware.
Can I edit the transcript? Yes. SoundWorks includes a transcript editor where you can correct words, adjust timestamps, and modify the output before exporting.
What audio and video formats are supported? SoundWorks accepts all major formats: MP3, WAV, FLAC, AAC, OGG, MP4, MKV, AVI, MOV, WebM, and more.
Does it work completely offline? Yes. After downloading the Whisper model once, all transcription runs offline. No internet connection is needed for any transcription work.