Voice to Text Transcription
Process audio directly inside your web browser. Completely free, private, and secure with zero file uploads.
No transcription active
Click "Start Transcription" and speak clearly into your microphone to transcribe in real-time.
How to Use Voice to Text Transcription
Grant Microphone Access
Click 'Start Transcription' and grant the browser permission to access your microphone. We do not store or transmit your voice.
Dictate or Play Audio
Speak clearly into your microphone, or play your audio file out loud. The browser's speech recognition engine outputs text with millisecond timestamps.
Export TXT or SRT
Once finished, click 'Stop'. Review your dialogue blocks, and download the transcript as a plain text file (.txt) or subtitle captions (.srt).
Why Use Our Client-Side Converter?
Absolute Privacy
Your audio files never leave your device. All decoding and encoding happen locally in your browser memory.
Instant Execution
No queue times, no waiting for file uploads or server rendering. Conversion finishes as fast as your device can calculate.
Zero Server Load
By processing locally, we avoid server-side upload bandwidth and storage overhead, allowing us to keep this service 100% free forever.
Technical Deep-Dive & Usage Insights
The Browser Web Speech API: Real-Time Dictation Mechanics
Building a voice-to-text transcription engine historically required setting up heavy server-side AI frameworks (such as Whisper or Kaldi) or connecting to expensive third-party speech APIs. The **Web Speech API** completely changes this landscape by providing native speech recognition directly inside the browser client.
The API functions around the SpeechRecognition (or webkitSpeechRecognition) interface. When activated, it opens a stream from the device microphone and processes the audio waves. The voice signal is parsed using machine learning algorithms integrated into the operating system or browser software.
Our implementation configures the recognition engine with two critical parameters:
continuous = true: This prevents the recognition engine from stopping when the speaker pauses. It continues listening indefinitely, which is essential for capturing long meetings or dictations.interimResults = true: This allows the interface to display temporary results as you speak. The engine outputs a "live preview" of what it thinks you said, and refines it with grammatical context before finalizing the text block once you finish a sentence.
SRT Subtitle File Structure vs. Plain Text Documents
Once words are transcribed into text, formatting them correctly is essential for post-production and accessibility. Our tool offers two primary export options:
1. SubRip Subtitle Format (.srt): SRT is the industry standard for captioning video content. It utilizes a strict, numbered formatting structure:
1
00:00:01,200 --> 00:00:04,500
Welcome to the client-side audio suite.
The timecodes are formatted as `Hours:Minutes:Seconds,Milliseconds`. Our tool calculates these timestamps dynamically by tracking the elapsed milliseconds since the start of recording (using
Date.now() - startTime) and automatically mapping each text group to its correct timing.2. Plain Text (.txt): A standard text document. We prefix each line with a simple time stamp (e.g. [00:05.12]), which is perfect for generating written summaries, meeting minutes, or interviews where caption timings are not required.
Frequently Asked Questions
Q.How does the Web Speech API work and is it free?
The Web Speech API is an HTML5 standard built directly into modern web browsers. It accesses the device microphone and handles speech recognition via the browser's native text-to-speech engine (or by query-handling through secure browser system APIs). Because it utilizes your browser's native capabilities, it is 100% free, requires no API tokens, and has no time limits.
Q.What is the difference between TXT and SRT formats?
A TXT file is a simple, unstructured text document containing a raw copy of the words spoken, along with bracketed timestamp references (e.g. [00:00:05]). An SRT (SubRip Subtitle) file is a highly structured caption file format containing indexed caption numbers, precise start-to-end arrow intervals (e.g. 00:00:01,000 --> 00:00:04,000), and text blocks. SRT files can be imported directly into media players (VLC) and video editors (YouTube, Premiere) to display subtitles.
Q.Can I transcribe pre-recorded MP3 or M4A audio files?
Yes! While the Web Speech API primarily listens to the microphone, you can transcribe pre-recorded files by playing them through your computer's speakers while the transcription is active, or by routing your system audio internally using virtual audio cables (such as VB-Cable on Windows or BlackHole on Mac).
Q.How accurate is the transcription engine?
Transcription accuracy is highly dependent on the browser used (Google Chrome and Safari offer the highest accuracy) and audio clarity. If you speak clearly in a quiet environment, the engine will achieve an accuracy level above 95%, easily capturing complex sentences and grammar.
Q.Are my spoken words uploaded or stored anywhere?
No. The audio signals captured by your microphone are processed locally in your browser sandbox using Javascript. If your browser uses network-based recognition (such as Google Chrome routing data to translate APIs), the data is processed securely in transit and is never stored on our servers.