Speech to Text Converter

Convert speech to text online with VexaScribe. AI-powered voice recognition supports 99 languages with automatic speaker detection. Upload any recording and get accurate, timestamped transcripts in minutes.

No credit card required99 languages supportedSpeaker detection included

Supported formats:

MP3WAVM4AMP4FLACOGG

Speech to Text (STT) vs Text to Speech (TTS) — are you in the right place?

  • Speech to Text (this page): you have audio or your voice → get written text.
  • Text to Speech: you have written text → get spoken audio. See a TTS tool like NaturalReaders or ElevenLabs Voice — different product entirely.

Quick test: do you have audio (STT, this page) or text (TTS, other tools)?

Speech to text converts spoken words to written text. Use browser-based dictation (click mic, speak — free, instant, Web Speech API) or upload an audio file (MP3/WAV/M4A up to 5 GB — VexaScribe uses Whisper large-v3, ~92-95% accuracy, 30 min free trial). Native alternatives: Windows Voice Access (Win+H), macOS Dictation (Fn Fn), iOS/Android system dictation.

Verified July 2026.

What is Speech to Text?

Speech to text — also called speech recognition, voice-to-text, or automatic speech recognition (ASR) — is the process of converting spoken language into written text using AI. It's used across industries to transcribe meetings, lectures, interviews, podcasts, and any audio where you need a text record.

Modern speech-to-text technology uses deep learning models trained on millions of hours of speech data. These models can handle diverse accents, speaking styles, background noise, and technical vocabulary with remarkable accuracy.

VexaScribe uses state-of-the-art AI models for speech recognition. Learn more about the technology behind our Whisper transcription and OpenAI transcription pages.

Using Google Docs? Different tool. If you specifically want voice typing inside Google Docs, use Google's built-in Voice Typing (Tools → Voice Typing → click microphone) or see our Google Docs Voice Typing guide for setup, voice commands, and troubleshooting when it stops working. This page is for standalone speech-to-text — dictate in-browser here or upload an audio file.

Speech recognition software vs speech-to-text: what's the difference?

Speech recognition is the underlying technology — the ML models that turn audio waveforms into words. When Whisper, wav2vec 2.0, or NVIDIA Parakeet output text from audio, that's speech recognition. The models are what academic papers benchmark.

Speech-to-text is the user-facing tool built on top: an app, a website, or a browser feature that takes your voice and gives you readable, editable text. VexaScribe, Dragon NaturallySpeaking, Otter, Google Voice Typing, and Windows Voice Access are all speech-to-text tools. They almost all run on top of one of the recognition models above.

Practical implication: when comparing accuracy, ask about the recognition model (Whisper large-v3? Nova-3? Custom?) — not the marketing brand. Different speech-to-text tools running the same model give you the same accuracy on the same audio.

Speech to text in 99 languages — accuracy by language

Whisper large-v3 word error rates on the FLEURS benchmark (lower = more accurate). VexaScribe uses this model, so these numbers apply to file upload here.

LanguageWhisper WER (FLEURS)Practical read
English (US)~4%Baseline — best-supported
Spanish~4-5%Excellent, near English parity
French~5-6%Excellent
German~5-7%Excellent; dialects (Bairisch, Schwäbisch) drop to ~10%
Portuguese (BR/PT)~5-6%Excellent both variants
Italian~5-6%Excellent
Japanese~5-8%Excellent for cleanly spoken audio
Chinese (Mandarin)~9-13%Good; drops on Cantonese/dialects
Korean~8-11%Good
Arabic (MSA)~10-14%Good for MSA; regional Arabic drops significantly
Hindi~10-13%Good
Indonesian~4%Surprisingly excellent — top of the 99-language list

Source: Whisper large-v3 model card + FLEURS benchmark (Google Research, 2023). Real-world accuracy varies with recording quality, accent, and background noise. All 99 supported languages are listed in the OpenAI Whisper documentation.

Speech to Text Use Cases

Meetings & Conferences

Transcribe team meetings, board calls, and conference sessions with speaker labels

Lectures & Education

Convert lectures and seminars into searchable study notes for students

Podcasts & Media

Turn podcast episodes into show notes, blog posts, and social media content

Interviews & Research

Transcribe research interviews and journalistic conversations accurately

Legal & Medical

Generate transcripts for depositions, consultations, and patient notes

Accessibility

Create captions and transcripts for deaf and hard-of-hearing audiences

How Speech to Text Technology Works

1

Audio Input

Your audio file is loaded and preprocessed — noise is filtered and the signal is normalized for optimal recognition.

2

Feature Extraction

The AI converts audio waveforms into spectrograms and extracts acoustic features that represent speech patterns.

3

Language Model Processing

Transformer-based neural networks match acoustic patterns to words and apply language context to improve accuracy.

4

Text Output

The final transcript is generated with timestamps, speaker labels, and punctuation — ready for export in your chosen format.

Sample Transcript

Export as:
TXTDOCXSRT
0:00Host:Welcome back to the show! Today we're diving into a fascinating topic.
0:08Guest:Thanks for having me. I'm excited to share some insights from my recent research.
0:15Host:Let's start with the basics. What got you interested in this field?
0:20Guest:It actually started with a personal project that grew into something much bigger.
Zoom Recordings
Google Meet
Microsoft Teams
Voice Recorders

Affordable Pricing

30-minute recording=~$0.15
1-hour recording=~$0.30
10-minute recording=~$0.05

Same rate for all audio formats and sources. No premium for speaker detection.

View pricing plans

Free Online Tools vs Professional Speech to Text

Free Browser Tools

  • Limited to short recordings
  • Basic accuracy only
  • No speaker detection
  • No file export options
  • Privacy concerns

Best for: Quick notes and short dictation

VexaScribe

  • Files up to 5GB supported
  • Professional AI accuracy
  • Automatic speaker labels
  • Export TXT/DOCX/SRT/VTT/JSON
  • Secure encrypted processing

Best for: Professional transcription of any recording

How Speech to Text Works with VexaScribe

Upload Your Recording

Drag and drop or browse to select your audio or video file. We support MP3, WAV, M4A, FLAC, MP4, and more.

AI Converts Speech to Text

Our speech recognition engine processes your audio, identifying words, speakers, and language — generating a complete timestamped transcript.

Download Your Transcript

Review and edit in our built-in editor. Export as TXT, DOCX, SRT, VTT, or JSON with all speaker labels and timestamps.

Why Choose VexaScribe for Speech to Text?

Professional speech recognition powered by the latest AI technology

State-of-the-Art Accuracy

Our AI models are trained on diverse speech data — accents, speaking speeds, technical vocabulary, and real-world audio conditions.

Fast Transcription

A 1-hour recording takes about 5-10 minutes. Upload your file and the transcript is ready before your coffee gets cold.

Speaker Diarization

Automatically identify and label different speakers. Essential for meetings, interviews, and any multi-person conversation.

99 Languages

Speech to text in 99 languages. Auto-detection identifies the spoken language, or specify it manually for optimal results.

Flexible Export Options

Download transcripts as TXT, DOCX, SRT, VTT, or JSON. Every format includes timestamps and speaker information.

Enterprise-Grade Security

All recordings are encrypted during upload and processing. Delete your files anytime. We never access or share your content.

Native OS Speech to Text — Free, No Signup

Your Windows, Mac, iPhone, or Android already has built-in speech to text. For live dictation into a text field, these are usually the fastest free option. Verified July 2026.

OSToolHow to enableAccuracyWorks in
Windows 11Voice Access / DictationWin + H~85-90%Any text field
macOSDictationFn Fn or System Settings~88-92%Any text field
iOSKeyboard DictationMic button on keyboard~90-93%Any text field
AndroidGoogle Voice TypingMic on Gboard~90-93%Any text field

When to use VexaScribe instead: you have an audio file to upload (podcast episode, meeting recording, voice memo), you need speaker labels for interviews, you need a language not covered by your OS, or you need DOCX/SRT/VTT export. Native dictation is text-field-only and single-speaker.

Speech to Text FAQ

Is speech to text free?

Yes. For live browser dictation (click mic, speak), Web Speech API is built into Chrome, Edge, and Safari — no signup, no cost. For uploaded audio files, VexaScribe gives 30 minutes free (no credit card), then $2/mo for 200 minutes. For unlimited free file transcription, install OpenAI's Whisper locally — 100% free forever, but requires Python setup. Windows Voice Access and macOS Dictation are also free built-in options for text-field dictation.

What's the difference between speech to text and text to speech?

Opposite directions. Speech to text (STT) converts your voice or a recording INTO written text — that's what this page is about. Text to speech (TTS) converts written text INTO spoken audio — that's tools like NaturalReaders, ElevenLabs Voice, or Amazon Polly. Quick test: do you have audio and want text (STT, right page)? Or do you have text and want audio (TTS, wrong page)?

Which is more accurate: browser dictation or file upload?

File upload with a Whisper-based tool (like VexaScribe) is generally more accurate — Whisper large-v3 reaches ~92-95% accuracy on clean English audio. Browser Web Speech API dictation typically runs 85-92% depending on your browser and mic. Browser wins on speed and privacy (some browsers process locally); file upload wins on accuracy, speaker labels, and file-format flexibility.

What languages are supported?

Live browser dictation (Web Speech API) supports roughly 30 languages depending on browser — Chrome and Edge have the broadest coverage. File upload with VexaScribe supports 99 languages using Whisper large-v3, with automatic language detection. Windows Dictation supports ~15 languages, macOS Dictation ~30 languages.

How accurate is speech to text?

On clean audio in supported languages: Whisper large-v3 (file upload) reaches ~92-95% word accuracy; Web Speech API (browser) typically 85-92%; native OS dictation (Windows Voice Access, macOS Dictation) 85-92%. Accuracy drops on noisy audio, heavy accents, technical jargon, or overlapping speakers. For professional transcription needs (legal, medical, publishing), human verification adds a 99%+ pass.

Can I use speech to text without downloading an app?

Yes. All the main options work in-browser: VexaScribe (upload or dictate), Speechnotes, SpeechTexter, Google Docs voice typing. No downloads, no installs. If you want offline unlimited free speech-to-text with no cloud involvement, install OpenAI's Whisper locally — that requires Python but processes everything on your computer.

What audio file formats can I upload?

VexaScribe accepts MP3, WAV, M4A, FLAC, OGG, AAC, WMA, AIFF, plus video formats (MP4, MOV, AVI, MKV, WebM) with audio auto-extracted. Maximum file size 5 GB. For very long audio, split into segments for easier review.

Does speech to text work offline?

Depends on the tool. Windows Voice Access (Win+H), macOS Dictation, and iOS/Android system dictation work offline on most modern devices with the language pack downloaded. Browser Web Speech API usually requires internet (some browsers cache language packs locally). VexaScribe file upload is cloud-based, so needs internet. Whisper installed locally works 100% offline once installed.

Is my voice recording private?

Depends on the tool. VexaScribe: files encrypted in transit and at rest, deletable at any time, never used to train AI. Browser Web Speech API: some browsers process locally (Chrome uses cloud services by default; Safari on macOS/iOS processes on-device for supported languages). Windows/Mac native dictation: on-device processing for most modern OS versions. For genuinely sensitive audio, install Whisper locally — the audio never leaves your computer.

How is this different from Windows Dictation or Mac Dictation?

Native OS dictation (Windows Voice Access, macOS Dictation, iOS/Android system dictation) is free, on-device, and works into any text field on your computer/phone — but only for LIVE dictation, no file upload. For transcribing an existing audio file (podcast episode, meeting recording, voice memo), you need a tool like VexaScribe that accepts uploads. For live dictation into a document you're writing, native OS options are usually the simplest choice.

Note: Speech to text accuracy depends on audio quality, background noise, speaker clarity, and accents. For best results, use clear recordings with minimal background noise.

VexaScribe converts speech to text from any source — meetings, lectures, interviews, podcasts, and more. Upload any audio or video file to get started.