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Customer case
Limecraft converts audio into highly accurate, time-coded transcripts using advanced speech-to-text technology, and automatically generates summaries and detects key highlights. Producers, journalists, and researchers can search, review, and understand content in seconds, accelerating the editorial workflows between ingest and edit.
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Use Limecraft to transform audio into searchable transcripts, concise summaries, and highlight lists that reflect the actual content. Journalists, researchers and edit producers understand what they have, decide what matters, and build draft storylines without listening through hours of recordings.
Limecraft Flow handles all possible file formats. It allows you to create and share shot lists, to easily download your media, or send them directly to the edit suite.
Using Automatic Speech Recognition (ASR) optimised for accuracy, we ensure the best possible result in seconds.
Reveals summarised highlights and story beats for faster editorial decisions
01
Upload one or more media files using drag-and-drop. If you have any existing transcripts, you can send them across for alignment.
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Limecraft uses a range of embedded speech-to-text engines, allowing you to balance speed and accuracy in any language. Transcription includes speaker segmentation and advanced punctuation. To achieve the best result, words added to your custom dictionary are recognised by preference.
03
Limecraft displays the result of AI transcription in editable form, allowing you to review and edit the transcript, to remove or substiture words, and adjust punctuation and timing before further processing.
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Use the transcript to create shot lists or sync pulls. Subclips or shots can be added to a collection, so they can be shared for review or transferred to the edit for post-production.
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When finished, you can export your transcript in a wide range of formats.
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