A practical buying guide

Caption tools without video upload. Check where the audio goes.

Decide whether keeping the video local is enough, or whether the audio must remain local too.

Published by LumaCaption. This is a comparison of documented features, not an independent accuracy benchmark. Sources checked on 26 September 2026.

LumaCaption keeps the video file on your device but sends extracted audio for transcription; a locally configured Whisper workflow is a different option when the audio must also stay on your computer.

Published by LumaCaption. This is a shortlist based on documented workflows and our own product implementation, not a hands-on accuracy ranking. The order follows the use cases below; it does not establish a universal winner.

Use the same short recording in the tools you shortlist. Count corrections, finish one export and check the actual file before committing to a subscription.

How these were judged

Video
Does the original video leave the device?
Audio
Where does speech recognition run?
Setup
Can you install and maintain a local model?

Compare the options

#1

LumaCaption

This is us

Best for Styled captions on an already edited clip

Choose LumaCaption when the cut is finished and you want to correct the words, style the captions and export the result. Hindi can be written in Devanagari or in the dedicated Roman-script Hinglish mode.

The free plan includes 20 Candy Lite and 5 Candy Ultra transcription minutes per month, up to two minutes per video and 1080p export. Exports have no watermark. Re-exporting an existing transcript does not use transcription minutes.

Strengths

  • Editable transcript and word timing
  • Watermark-free video, SRT, VTT and TXT exports
  • Hindi and Roman-script Hinglish modes

Where it falls short

  • Automatic transcription sends extracted audio to a service; it requires internet
  • No built-in subtitle translation or SRT import
  • Not a replacement for a multi-track video editor
#2

Whisper, run locally

Best for Technical users who need to keep transcription on their computer

The open-source Whisper project documents local installation and command-line transcription. This is a different workflow from a hosted caption editor: you install the dependencies and model, generate the transcript, then style subtitles in another editor.

Strengths

  • Local model inference when configured locally
  • Open-source transcription workflow

Where it falls short

  • Requires installation, model storage and suitable hardware
  • Not a finished animated-caption editor
  • A website using the Whisper name is not necessarily processing locally

Choose by the result you need

Your taskStart withCheck before committing
Keep video local, allow audio processingLumaCaptionAudio is sent for transcription
Keep video and transcription audio localLocally configured WhisperUse local inference, not a hosted service

Ask about the complete workflow

“No video upload” does not mean “offline” or “no data transfer”. A caption service may extract audio and send it to a transcription provider even when the video stays on your device.

For confidential material, establish requirements for audio, transcripts and project metadata before choosing a workflow. Inspect the provider’s current policies and your configuration; a comparison page cannot certify that a particular setup meets them.

Common questions

Does LumaCaption work entirely offline?

No. Automatic transcription uses an online service. The distinction is that the video file stays local while extracted audio is sent for transcription.

Does installing Whisper guarantee privacy?

Only a correctly configured local workflow keeps inference local. The open-source project and a hosted website offering Whisper are different arrangements.

More comparisons

Hinglish caption generatorsHindi caption generatorsCaption tools for Indian creatorsBest free caption generatorsHormozi caption tools

Go deeper

Hinglish subtitlesHindi subtitlesDynamic captionsCaption stylesLumaCaption home

Sources and further reading

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