Speech to Text (Whisper AI)
Transcribe audio files to text using OpenAI Whisper. Upload MP3, WAV, or record from your microphone.
Drop an audio file here or click to upload
MP3, WAV, M4A, FLAC, OGG, WEBM up to 25MB
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What is Speech to Text (Whisper AI)?
Turning spoken words into written text has never been easier. AllKit's Speech to Text tool uses OpenAI's Whisper large-v3, one of the most accurate automatic speech recognition models ever built, to transcribe your audio files with remarkable precision. Whether you have a recorded interview, a lecture, a podcast episode, a voice memo, or a meeting recording, this tool converts it to clean, readable text in seconds.
What sets Whisper apart from older speech recognition systems is its ability to handle real-world audio. It was trained on 680,000 hours of multilingual audio data, which means it understands accents, background noise, technical jargon, and natural conversation patterns that trip up other transcription tools. It supports over 90 languages and can both transcribe (same-language output) and translate (convert any language to English).
The tool works entirely through your browser. You can upload an audio file from your device — MP3, WAV, M4A, FLAC, OGG, or WEBM — or record directly from your microphone using the built-in recorder. There's no software to install, no account to create, and no file size restrictions from a paywall. Your audio is processed through the Whisper model and the transcribed text appears right on the page.
Privacy matters when you're transcribing sensitive content like business meetings, medical notes, legal depositions, or personal voice memos. AllKit processes your audio through a secure API connection and doesn't store your files or transcriptions. Once you close the page, your data is gone. Compare that to transcription services that keep your audio on their servers indefinitely.
The output is clean, continuous text that you can copy to your clipboard with one click or download as a .txt file. From there, you can paste it into your document editor, email client, note-taking app, or anywhere else you need it. No formatting artifacts, no timestamps cluttering the text — just the words that were spoken, accurately transcribed.
Why use AllKit?
- No ads, no distractions — a clean interface that lets you focus on the task
- Privacy-first — minimal data processing, results delivered instantly
- Free forever — core tools are free with no usage limits
- API available — integrate into your workflow via our REST API
How to Use Speech to Text (Whisper AI)
- Choose your audio source: click the upload area to select a file from your device, drag and drop an audio file onto the upload zone, or click the Record button to capture audio from your microphone.
- If recording from your microphone, click the red Record button to start. Speak clearly into your microphone. Click Stop when you're done. The recording will appear as your audio source automatically.
- Select the task: choose 'Transcribe' to get text in the same language as the audio, or choose 'Translate to English' to convert foreign-language speech into English text.
- Click the 'Transcribe' button to start processing. The AI model will analyze the audio and extract the spoken words. This typically takes 10-30 seconds depending on audio length.
- If the model is cold-starting (first use in a while), it may take up to 60 seconds to warm up. A timer shows you how long it's been processing.
- Once the transcription appears in the output area, review the text for accuracy. Click 'Copy' to copy it to your clipboard, or 'Download .txt' to save it as a text file.
- For best results, use audio with clear speech and minimal background noise. The model handles accents and moderate noise well, but extremely noisy recordings may produce less accurate results.
Common Use Cases
Meeting and Interview Transcription
Record your meetings, interviews, or conference calls and convert them to searchable text. Great for creating meeting minutes, documenting decisions, or reviewing what was said without re-listening to the entire recording.
Lecture and Podcast Notes
Students and professionals can transcribe lectures, webinars, and podcast episodes to create study notes or reference documents. Read through key points instead of scrubbing through hours of audio.
Content Creation and Subtitles
YouTubers, podcasters, and video editors can quickly generate text from their audio tracks for creating subtitles, show notes, blog post drafts, or social media quotes. Much faster than typing everything manually.
Voice Memo to Text
Turn your quick voice memos and dictations into written text. Capture ideas on the go with your phone's voice recorder, then upload the file here to get clean text you can use in documents, emails, or notes.
Foreign Language Translation
Use the 'Translate to English' mode to convert speech in any of 90+ supported languages into English text. Useful for translating foreign-language interviews, customer feedback, or international meeting recordings.
Accessibility and Hearing Impaired
Create text transcripts of audio content for people who are deaf or hard of hearing. Make podcasts, videos, and audio messages accessible by providing written versions of the spoken content.
Legal and Medical Documentation
Transcribe depositions, court recordings, patient notes, or clinical dictations into text documents. The high accuracy of Whisper large-v3 makes it suitable for professional transcription needs where precision matters.
Technical Details
This tool uses OpenAI's Whisper large-v3, the third and most capable version of the Whisper automatic speech recognition model. It has 1.55 billion parameters and was trained on 680,000 hours of labeled audio data covering 99 languages. It uses a Transformer encoder-decoder architecture that processes audio spectrograms and outputs text tokens.
Whisper supports two modes: transcription (converting speech to text in the same language) and translation (converting speech in any supported language to English text). The model automatically detects the spoken language and doesn't require you to specify it manually.
Supported input formats include MP3 (MPEG Layer 3), WAV (Waveform Audio), M4A (MPEG-4 Audio / AAC), FLAC (Free Lossless Audio Codec), OGG (Ogg Vorbis), and WEBM (WebM Audio). The browser's MediaRecorder API captures microphone input as WEBM format by default.
The model runs on Hugging Face Spaces infrastructure using GPU acceleration. Cold starts (when the model hasn't been used recently) may take 30-60 seconds as the model loads into GPU memory. Subsequent requests are much faster, typically 10-20 seconds for a few minutes of audio.
Audio is sent to the model as a binary blob via the Gradio client protocol. The transcription is returned as plain text without timestamps or speaker diarization. For professional use cases requiring timestamps or speaker identification, consider dedicated transcription platforms — this tool focuses on fast, accurate text extraction.
Frequently Asked Questions
What audio formats are supported?▾
MP3, WAV, M4A, FLAC, OGG, and WEBM. These cover virtually all common audio formats. If your file is in a different format, convert it to MP3 first using any free audio converter.
What languages does Whisper support?▾
Whisper large-v3 supports over 90 languages including English, Spanish, French, German, Chinese, Japanese, Korean, Arabic, Hindi, Portuguese, Russian, and many more. It automatically detects the spoken language.
What's the difference between Transcribe and Translate?▾
Transcribe outputs text in the same language as the audio (e.g., French audio produces French text). Translate converts any language into English text. Use Translate when you need an English version of foreign-language audio.
How long can my audio file be?▾
There's no hard limit on audio length, but very long files (over 10 minutes) may take significantly longer to process and could time out. For best results, keep audio clips under 5 minutes. Split longer recordings into smaller segments.
Is my audio stored on your servers?▾
No. Your audio is sent to the Whisper AI model for processing and the transcribed text is returned. We don't store your audio files or transcriptions. Once you close the page, your data is gone.
Can I record directly from my microphone?▾
Yes. Click the Record button and grant microphone permission when your browser asks. Speak into your microphone and click Stop when done. The recording is captured in WEBM format and ready for transcription.
Why does it take so long sometimes?▾
The AI model runs on GPU servers that go to sleep when not in use. The first request after a period of inactivity requires a 'cold start' that can take 30-60 seconds. Subsequent requests are much faster (10-20 seconds).
How accurate is the transcription?▾
Whisper large-v3 achieves near-human accuracy on many benchmarks. It handles accents, background noise, and technical vocabulary well. Accuracy depends on audio quality — clear speech with minimal noise produces the best results.
Can I get timestamps or speaker labels?▾
This tool provides clean text output without timestamps or speaker identification. For timestamped transcripts or speaker diarization, you'd need a more specialized transcription platform. This tool is optimized for fast, accurate text extraction.
What AI model powers this tool?▾
OpenAI's Whisper large-v3, the latest and most accurate version of the Whisper automatic speech recognition model. It has 1.55 billion parameters and was trained on 680,000 hours of multilingual audio data.