Speech to Text Generator

How to convert speech to text in 3 steps

1. Upload audio or record your voice

Upload an audio file from your device or record directly using your microphone. The tool handles meetings, interviews, voice notes, lectures, podcasts, and any other spoken content.

2. Choose a transcription model

Select the AI model that fits your needs. Whisper models (Tiny, Base, Small) offer high accuracy and timestamp support for subtitle generation. Moonshine models (Tiny, Base) are optimized for speed and run with minimal resources. Start with Whisper Base for a good balance of accuracy and performance.

3. Generate and download your transcript

Click "Transcribe" and your text appears instantly. Download the result as a TXT file for notes and documents, or as an SRT subtitle file with timestamps when using Whisper models. Adjust your model choice and re-transcribe as many times as you like.

Why this speech to text tool is different

Runs entirely in your browser

Most transcription services send your audio to cloud servers for processing. This tool runs Whisper and Moonshine locally on your device using browser-based AI. Your recordings never leave your machine. Nothing is uploaded, stored, or shared. This matters when you're transcribing sensitive material like internal meetings, interviews, legal recordings, or research data.

Multiple AI models to choose from

Instead of locking you into a single engine, this tool offers both Whisper and Moonshine models at different sizes. Whisper delivers highly accurate transcription with timestamp support. Moonshine is built for speed and lightweight performance. You pick the tradeoff that suits your situation.

Built-in subtitle generation

Whisper models produce timestamped output that can be exported as SRT subtitle files. These work directly with YouTube, most video editors, and publishing platforms, no extra conversion tools needed.

Completely free with no limits

There are no daily caps, no per-minute fees, no watermarks, and no account required. Transcribe as much audio as you need without worrying about hitting a paywall.

What you can do with a speech to text generator

Transcribe meetings and interviews

Convert recorded conversations into written transcripts for easier review, quote extraction, and sharing. Useful for team meetings, client calls, user research sessions, and journalist interviews.

Create subtitles for videos

Generate SRT subtitle files for YouTube videos, tutorials, courses, or social media clips. Accurate subtitles improve accessibility and boost engagement — most viewers watch video with captions on.

Convert voice notes to text

Turn quick voice memos and audio notes into searchable, editable text. Useful for capturing ideas on the go and organizing them later.

Transcribe podcasts and audio content

Create written transcripts of podcast episodes for show notes, blog posts, or searchable archives. Transcripts also help with SEO by giving search engines text to index alongside your audio.

Research and documentation

Students, researchers, and journalists can transcribe lectures, field recordings, and interviews into text for analysis, citation, and reference.

Tips for better speech to text results

Use clean audio. Background noise reduces transcription accuracy. Record in a quiet environment with minimal interference whenever possible.

Speak clearly and steadily. Speech recognition models perform best with clear, consistent speech. Avoid rushing or overlapping speakers.

Pick the right model for the job. Use Whisper Base or Small when accuracy matters most. Use Moonshine Tiny or Whisper Tiny when you need speed and don't need timestamps.

Break long recordings into segments. For recordings over 10–15 minutes, splitting the audio into shorter clips makes transcription faster and the output easier to review and edit.

Review and edit the output. No transcription model is perfect. Scan the result for misheard words, especially proper nouns, technical terms, and acronyms, and correct them before using the transcript.What is text to speech?

Text to speech (TTS) is a technology that converts written text into spoken audio using artificial intelligence. Modern TTS systems like KokoroTTS use neural networks trained on large datasets of human speech to produce voices that sound natural and expressive. This is a major improvement over the flat, robotic voices of earlier systems.

TTS technology is used across industries: assistive technology for accessibility, voice interfaces in apps and devices, audio content production, language learning tools, and navigation systems. Browser-based TTS tools like this one make the technology accessible to anyone without requiring specialized software or technical knowledge.

Supported transcription formats

TXT (Text File): A plain text version of your full transcription. Works for notes, documents, and any further editing. Available with all models.

SRT (Subtitle File): A timestamped subtitle format available when using Whisper models. SRT files can be uploaded directly to YouTube, imported into video editors, or used for accessibility captions.

What is speech to text?

Speech to text (also called automatic speech recognition, or ASR) is a technology that converts spoken language into written text using artificial intelligence. Modern speech recognition systems use deep neural networks trained on large datasets of human speech to recognize words, accents, pauses, and natural language patterns.

Models like Whisper (developed by OpenAI) and Moonshine have made high-quality transcription accessible without expensive software or cloud subscriptions. Browser-based tools like this one bring that capability directly to your device, letting anyone convert audio to text quickly and privately.