Guide
How to Transcribe Audio to Text
Learn how transcription works, prepare a recording, improve the result, and review the text.
Audio and Video to Text ConverterChoose a file, transcribe locally, edit, and export TXT, SRT, or VTT
Convert speech from audio or video into an editable transcript and timed subtitles. Your file stays on your device while the tool processes it in your browser. No signup, installation, or paid export.
Drop audio or video here, or choose a file
Large files depend on browser support and device memory On iPhone or iPad, use Browse > Files for video uploads. Photo Library video import can stall in Safari. No file upload: transcription runs locally in your browser
Local file processing - Your audio or video stays on this device while you transcribe it
How to Convert Audio or Video to Text
The whole workflow stays on this page: choose a file, run transcription, correct the result, and download the format you need.
1
Choose an audio or video file
Select a recording, interview, meeting, podcast, lecture, voice memo, or video from your device.
2
Start local transcription
Choose the language and transcription settings, then let your browser convert the speech to text without sending the media to a transcription server.
3
Review and edit the transcript
Correct names, numbers, technical terms, wording, line breaks, and subtitle timing while listening to the source.
4
Export TXT, SRT, or VTT
Download TXT for plain text, SRT for video platforms and editors, or VTT for web captions. You can also use the reviewed transcript in the tool's translation workflow.
Supported Files
Common audio and video formats
MP3
WAV
M4A
AAC
FLAC
OGG
MP4
MOV
WebM
M4V
MPGA
MPEG
MPG
Choose a file from your device, not a YouTube URL. Codec support, file length, browser limits, memory, and device power affect whether a file loads and how long transcription takes. Extracting the audio first can make long video files easier to process.
Private by defaultYour selected media file is processed locally
No file uploadMedia processing stays in your browser
Edit before exportReview text and subtitles first
Modern browsersSupport depends on device and file length
Private Transcription With Honest Limits
Your media stays local
The selected file stays on your device instead of going to a transcription server. The browser may download model and runtime files needed for processing. Consider your own privacy requirements before working with sensitive material in any web tool.
Your device does the work
Local processing uses your device's memory and computing power. Long recordings, large videos, unsupported codecs, older phones, and limited browser memory can slow transcription or stop a file from loading.
Accuracy varies by recording
Clear, close speech usually gives the model better input. Noise, music, reverb, overlapping speakers, accents, dialects, and compressed audio can introduce errors. Always check names, numbers, quotes, and timing.
Review before delivery
Automatic transcription creates a draft, not a final client file. Listen through the result, edit the wording and line breaks, then check exported subtitles in the platform or editor where they will be used.
Edit the Transcript and Subtitle Timing
Transcription is most useful when you can correct the result before it leaves the tool. Play the source, click into the text, and fix each section while the wording and speaker context are still clear.
Correct the words
Check proper names, brands, numbers, dates, technical terms, and places. These details are easy for an automatic model to mishear, especially when the recording has noise or several speakers.
Make subtitles readable
Review timecodes and line breaks instead of exporting the first draft unchanged. Keep complete phrases together, avoid crowded lines, and watch the subtitles with the video before delivery.
Translate from clean source text
Correct the original transcript before opening the translation workflow. For Arabic subtitles, check names, dialect choices, punctuation, reading speed, and right-to-left display. Translation keeps the subtitle workflow moving, but a fluent reviewer should check client-facing work.
Subtitle Workflows for YouTube, Premiere Pro, and Social Video
YouTube SRT subtitles
Generate an SRT file from your audio or video, review the timing and wording, then upload the subtitle file in YouTube Studio.
Premiere Pro captions
Export SRT for Premiere Pro or another editor, then adjust line breaks, timing, and styling inside your video project before delivery.
Reels, TikTok, and Shorts
Create caption-ready text from short videos so you can reuse spoken content for Reels, TikTok, Shorts, social captions, and post copy.
Translation-ready subtitles
Start with a reviewed transcript or subtitle file before translating. Clean source text makes Arabic, English, and multilingual captions easier to check.
Where Speech to Text Helps Most
The better the source audio, the better the transcript. This workflow is useful for creators, journalists, researchers, students, podcasters, and production teams working with recorded speech, including Arabic, Gulf Arabic, and mixed English-Arabic recordings that need human review before publishing.
Long interviews
Turn spoken interviews into text that is easier to search, quote, summarize, and edit.
Meetings and client calls
Capture decisions, action items, and notes from recorded calls or internal discussions without sending the media file to a transcription server.
Podcasts
Turn podcast episodes into show notes, article drafts, quotes, summaries, or searchable archives.
Arabic and multilingual recordings
Transcribe Arabic and many other languages. Review Gulf and Saudi Arabic, mixed Arabic-English speech, names, dialect terms, and right-to-left subtitle display with extra care.
TXT, SRT, or VTT: Which Format Should You Export?
TXT for transcripts
Choose TXT when you only need the spoken content as readable text for notes, summaries, cleanup, quotes, or translation prep.
SRT for subtitles
Choose SRT when you want timed subtitle files for YouTube, Premiere Pro, DaVinci Resolve, social video, or other editing workflows.
VTT for web captions
Choose VTT when your captions will be used online in browser-based video players, tutorials, training pages, or web accessibility workflows.
Detailed Transcription Guides
Frequently Asked Questions
How do I convert audio or video to text?
Choose a supported audio or video file from your device, start transcription, and review the generated text. You can edit the transcript and subtitle timing before exporting TXT, SRT, or VTT.
Does this tool upload my file?
No. The selected media file is processed locally in your browser and is not sent to a transcription server. The tool may download model or runtime files needed to process it.
Is the audio and video to text converter free?
Yes. You can transcribe, edit, and export without signing up, installing software, or paying to unlock the result.
Which audio and video formats are supported?
Supported formats include MP3, WAV, M4A, AAC, FLAC, OGG, MP4, MOV, WebM, M4V, MPGA, MPEG, and MPG. Actual support can vary by browser, codec, file length, and device memory.
Can I edit the transcript before export?
Yes. Review and edit names, numbers, wording, line breaks, and subtitle timing in the tool before downloading your file.
Can I export TXT, SRT, and VTT files?
Yes. Export TXT for a plain transcript, SRT for timed subtitles in YouTube and video editors, or VTT for captions used in web video players.
Does transcription support Arabic?
Yes. The model supports Arabic and many other languages. Gulf Arabic, Saudi Arabic, names, local terms, dialects, and mixed Arabic-English speech may need closer review.
How accurate is automatic transcription?
Accuracy depends on speech clarity, background noise, music, microphone quality, accents, dialects, and overlapping speakers. Review names, numbers, quotes, and subtitle timing before publishing or client delivery.
Can I translate a transcript or subtitles?
Yes. Create and correct the source transcript first, then use the translation workflow in the tool. Review translated wording, names, line lengths, reading speed, and right-to-left display before publishing.