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Cleaning transcripts

GAAI ModelsReleased Sep 2026All plansSource: docs.lovable.dev

Cleaning transcripts is Lovable's AI Models feature: Cleaner transcripts during voice messages.

Voice dictation now produces cleaner transcripts by removing filler words and recognizing product names accurately.

Example workflows

Starting points built from this record, not transcripts of a run. Each prompt is written the way it should be sent, as one paragraph, and each is worth editing before you send it.

  1. Stand it up from scratch

    You have read the record and want Cleaning transcripts working in a real project rather than a sandbox.

    Set up Cleaning transcripts in this project — cleaner transcripts during voice messages. Walk it end to end, tell me exactly what you changed, and flag anything I have to switch on myself before it works.

    Expected outcome

    A working setup, a plain list of what changed, and a short list of anything left for you to switch on. Check that list before assuming it is done.

  2. Review it before you publish

    Cleaning transcripts is wired in and you are about to put it in front of people. This is the pass that catches the half-configured version.

    Review how this project uses Cleaning transcripts before I publish. Check high accuracy voice recognition and filler word removal, list anything that is missing, misconfigured, or only half wired, fix what is safe to fix, and tell me what you left alone and why.

    Expected outcome

    A findings list split into what was fixed and what was left, with a reason for each. Anything left alone is yours to decide on.

  3. Decide whether it fits your project

    Worth five minutes before you wire anything in. Cleaning transcripts sits in AI Models, and not every project needs it.

    I am building the project in this workspace. Given that Cleaning transcripts cleaner transcripts during voice messages, tell me honestly whether it fits what I am building, including the cases where I should not use it. If it does fit, give me the single smallest first step.

    Expected outcome

    A direct yes or no with the reasoning, the cases against it, and one first step. Treat a hedged answer as a no.

Capabilities

  • High accuracy voice recognition
  • Filler word removal
  • Product name recognition
  • User-friendly transcript management
  • Facilitates improved communication
  • Enhances user experience

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Frequently asked

  • What is Cleaning transcripts?

    Cleaning transcripts is Lovable's AI Models feature: Cleaner transcripts during voice messages. Voice dictation now produces cleaner transcripts by removing filler words and recognizing product names accurately.

  • Is Cleaning transcripts GA or in beta?

    Cleaning transcripts is generally available (GA) on Lovable.

  • What Lovable plan includes Cleaning transcripts?

    Cleaning transcripts is available on all Lovable plans.

  • When did Cleaning transcripts launch?

    Cleaning transcripts launched on Sep 19, 2026.

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