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Hebrew video subtitles

Hebrew video subtitles

Create and edit timestamped Hebrew subtitles for recorded video.

Live demoRecording & transcript Open KolWrite Open demo in a new tab

Live demo

Runs in your browser.

Put the recording to work

Check right-to-left layout, mixed Hebrew-English word order, names, and line breaks in your video editor. Export the SRT file and preview the final video before sharing it.

A transcript you can review and use

Speakers and timestamps

See who said what and jump straight to that moment in the recording. Check speaker labels if voices overlap or the audio isn't clear.

Search and edit

Find a name or topic without listening to the whole file. Check the audio to fix names and technical terms.

Summaries and translation

Generate a summary, ask questions about the transcript, or translate it. Always check AI answers against the source before sharing.

Documents and subtitles

Export to text, Word, PDF, or SRT subtitles. Check the wording and timing before you send it out.

From recording to a usable record

  1. Record or upload

    Upload an audio or video file you already have, or record directly in the app. Only use recordings you have permission to use.

  2. Transcribe

    Get editable text with speaker labels and timestamps.

  3. Review and organize

    Re-listen to any unclear parts, fix terms, and check the summaries, decisions, and tasks.

  4. Export and share

    Pick a format and send it to the people who need it.

For developers and AI agents

You can also run everything KolWrite does with a recording through our API. Send the address of an audio or video file from your own code or an AI coding agent, and you'll get back the transcript with word timings, speaker labels, and an SRT file if you request one.

Word timings and speakers

The JSON output gives you the start and end time for every segment, plus individual word timings on models that support alignment. Turn on speaker separation to include a speaker label on each segment.

SRT and translation

Pass output_format as srt if you want subtitles directly from the API. If you are using the Oracle models, you can also set translate_to to get the text back in another language.

Built for agents

The API console publishes plain-text instructions for an agent to read before writing code. This includes agent-instructions.md, along with llms.txt, which links to the full reference.

Example request. The key comes from an environment variable, and the console has the full reference.

curl -X POST https://app.kolwrite.com/transcribe \
  -H "x-api-key: $KOLWRITE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"audio_url": "https://example.com/video.mp4", "model": "oracle", "language": "auto", "output_format": "srt"}'
# Returns {"jobId": "..."}. Poll GET https://app.kolwrite.com/transcribe/{jobId}
# until status is COMPLETED. The result is the file or the JSON you asked for.

Questions

Can I use an existing recording?

Yes. You can upload audio or video files you already have, or record in the app. No meeting bot needs to join your call.

What affects the result?

Background noise, overlapping voices, microphone placement, accents, and technical terms all play a role. Test a typical recording of yours and check the parts that matter.

Can I work across languages?

KolWrite transcribes in more than 100 languages and translates between them. Changing the site language only changes this page, not the language of your recording.

How do I make Hebrew subtitles that display correctly right to left?

Export the SRT with the Hebrew text in its natural order, then preview it in your video player or editor. Because different players handle right-to-left text differently, pay close attention to numbers, punctuation at the ends of lines, and any English words mixed into a Hebrew line.

Can I get Hebrew SRT subtitles with an AI agent?

Yes. Pass the video's address to the KolWrite API with language set to he and output_format set to srt. You can find agent-readable instructions in the API console.

Try a recording from your own work.

Check the transcript, the summary, and the exported file to see if it fits your workflow.

Start transcribing