Speech to Text AI Converter | Whisper Web

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Free minutes are included. Upload a file or record audio to start.
Whisper Web is a speech to text ai workspace for creators, researchers, students, and teams that need a reliable way to turn spoken content into usable text. Upload audio or video, record in the browser, or import a media URL, then review the current transcript without mixing it with older recordings.
Audio-ready workflow
Speech to text ai workspace
Speech to text ai is the process of using artificial intelligence to recognize spoken language and turn it into written text. It is useful for more than one-off dictation: teams use it to document meetings, creators use it to repurpose podcasts and videos, and researchers use it to review interviews without replaying every minute of audio.
Unlike manual note-taking, AI transcription preserves the full spoken record so you can search, quote, summarize, edit, and export it later. Whisper Web keeps the tool focused on the current task while storing signed-in history separately in Recordings, which makes the work page easier to use and easier to understand.
When spoken content piles up, manual transcription slows every workflow. Speech to text ai turns voice into a practical text layer for editing, search, collaboration, and publishing.
Search a transcript, scan important passages, and find decisions or quotes without replaying the full recording.
Export transcripts as TXT, SRT, DOCX, or JSON so one recording can support captions, docs, and analysis.
Use auto-detection or choose a source language for interviews, lessons, and recordings from global teams.
The speech-to-text page shows current-session results only, while historical recordings stay in Recordings.
The same speech to text ai workflow can support many content-heavy jobs, from internal documentation to publishing pipelines.
Whisper Web combines input, transcription settings, task results, and export controls in one focused workspace.
Upload local audio or video files and set language or speaker options before starting transcription.
Record microphone or system audio in the browser and submit it as the current transcription task.
Start transcription from a media link and avoid unnecessary download-and-upload steps.
Use auto-detection or choose a source language, then search important passages after processing.
Enable speaker identification when useful so interviews and meeting transcripts are easier to scan.
Export finished transcripts as TXT, SRT, DOCX, or JSON for editing, captions, archives, or data workflows.
Need a timed subtitle file? Open the SRT Subtitle Generator to review cue text and timing, then download SRT from the same saved task. For HTML video and course players, use the VTT generator.
Keep intake, processing, review, and export in one task flow instead of moving media through several tools.
Choose upload, recording, or URL import.
Set language, speaker labels, and transcription style.
Submit the current task and wait for AI transcription.
Edit, search, export, and review history in Recordings.
AI transcription does not replace every human judgment, but it prepares the first draft, caption base, and searchable text layer much faster.
Accuracy depends on audio clarity, background noise, accents, terminology, and overlapping speakers. Clear recordings usually produce the best results.
Yes. You can upload video or import a media URL, then convert the spoken track into text.
Yes. Finished transcripts can be exported as SRT, TXT, DOCX, or JSON.
Yes. Meeting transcripts help review decisions, questions, customer feedback, and action items, but important notes should still be reviewed.
Yes. Podcast transcripts can become summaries, articles, social posts, captions, and searchable archives.
Signed-in users can review past recordings in Recordings. This page shows only current-session task results.
No desktop installation is required. Whisper Web provides upload, recording, task review, and export in the browser.
Legal, medical, financial, or customer-sensitive transcripts should be reviewed by a human and handled under your data policy.
Choose upload, recording, or URL import and turn the current audio task into editable, export-ready text.
Need a document to hand off? Convert audio to Word and download your saved transcript as DOCX. Working with a spoken MP3? Use the MP3 to Text Converter for a focused upload and transcript workflow. Working with an M4A recording? Convert M4A to text with file preparation and export guidance. Working with questions and answers? Use the Interview Transcription Tool to review speaker labels and prepare quotes. Working with a Japanese interview or lesson? Use the Japanese Transcription Tool to start with Japanese selected and review the original-language text. Received a Mandarin recording? Use the Chinese Transcription Tool to start with Chinese selected and review hanzi, names, and numbers. Comparing transcription tools? See how WhisperWeb works as an Otter AI alternative. Working with an uncompressed WAV? The WAV to Text Converter handles recorder files with the same on-page review and export. Holding an OGG or Opus voice note exported from WhatsApp, Telegram, or a browser recorder? Convert OGG to text on a page written for the Ogg container. Have an iPhone or QuickTime .mov video? Convert MOV to text on a page built around the QuickTime container. Have a browser recording saved as WebM? Convert WebM to text with a focused file upload and on-page transcript review. Need to distinguish voices? Use transcription with speaker labels to review who spoke when. Working from a saved meeting file? Use Meeting Recording Transcription to review speakers, timestamps, and takeaways on that page. Working with a finished episode file? Use the Podcast Transcription Tool to review host and guest labels before you publish. Already holding an iPhone Voice Memo or an Androi