Speech to Text
Transcribe audio to text using AI — supports 99+ languages, 100% client-side
Drop audio/video file here
Drag and drop to start, or use the file picker.
MP3, WAV, M4A, MP4, WebM and more (max 100MB)
Related Tools
Audio Trimmer
Cut and trim audio files with waveform visualization
Audio Converter
Convert audio files between WAV, MP3, OGG, and other formats
Audio Joiner
Merge multiple audio files into one seamless track
BPM Detector
Detect the tempo (BPM) of any audio file automatically
Audio Speed Changer
Change the playback speed and tempo of audio files
Audio Volume Changer
Adjust the volume and loudness of audio files
How to Use
Upload Your PDF
Drag and drop a PDF file. Text is extracted right in your browser — nothing is uploaded.
AI Processes Your Document
Our AI reads and analyzes the content to give you a clear, actionable result.
Review and Copy
Read the AI-generated result, copy it, or try again with different settings.
Why Use This Tool
100% Free
No hidden costs, no premium tiers — every feature is free.
No Installation
Runs entirely in your browser. No software to download or install.
Private & Secure
Your data never leaves your device. Nothing is uploaded to any server.
Works on Mobile
Fully responsive — use on your phone, tablet, or desktop.
Your Files Stay Private
This tool processes your files entirely in your browser. Nothing is uploaded to any server — your data never leaves your device.
- No server upload — 100% client-side processing
- No data stored — files are discarded when you close the tab
- No account required — use instantly without signing up
Speech Recognition: Converting Voice to Text with AI
Key Takeaways
- Modern ASR (Automatic Speech Recognition) models achieve 95%+ accuracy in ideal conditions.
- The Web Speech API enables browser-based transcription without sending audio to external servers.
- Accuracy depends on audio quality, accent, background noise, and vocabulary domain.
Speech-to-text technology, also known as Automatic Speech Recognition (ASR), converts spoken language into written text. Powered by deep learning models trained on thousands of hours of speech data, modern ASR systems handle diverse accents, real-time transcription, and specialized vocabularies with remarkable accuracy.
95%+
Accuracy in clean audio
Common Use Cases
Meeting Transcription
Automatically transcribe meetings, interviews, and lectures for searchable text records.
Accessibility
Provide real-time captions for deaf and hard-of-hearing individuals in live settings.
Content Creation
Dictate blog posts, articles, and documentation faster than typing.
Voice Commands
Enable hands-free interaction with applications through voice input.
Practical Tips
Use a good quality microphone and minimize background noise for significantly better accuracy.
Speak at a moderate pace with clear pronunciation — rushing increases error rates.
For specialized vocabulary (medical, legal, technical), use domain-specific ASR models when available.
Always proofread transcription output — even 95% accuracy means errors in every 20 words.
All processing is performed locally in your browser using AI models. No data is uploaded to external servers unless explicitly stated.