While Algolia doesn’t offer native support for video transcription, you can absolutely use Algolia to search video transcripts, provided you convert the content into text and index it.
How it works
The approach is similar to how Algolia supports image search via metadata: the content itself isn’t directly searchable, but any descriptive or textual representation of it can be indexed and queried.
For video content, this means:
Generate a text-based transcript of your video (e.g., using a tool like OpenAI’s Whisper)
Structure and index this transcript in Algolia
Use Algolia’s full-text search capabilities to deliver fast and relevant results
Example use case
If you have YouTube or internal video content, you can transcribe the audio and break it into indexed segments (e.g., by timestamp or topic), enabling users to search and jump directly to relevant parts of a video.
We’ve outlined this process in more detail on our blog:
Generate a transcription index for your YouTube content using Whisper
Related resources
Search by image (similar approach)
This tutorial demonstrates how to index metadata associated with images—just like you would with video transcripts.