Integrate Meilisearch and FFmpeg to automate workflows with scalable backend

Connect Meilisearch and FFmpeg nodes to in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!

getting started

How To Connect Meilisearch and FFmpeg

Supported Triggers & Actions

Meilisearch NODES

Add Document

Add a single document to MeiliSearch. Accepts a JSON object representing the document and adds it to the index

Add Documents

Add a list of documents to MeiliSearch index.

Delete Document

Delete a document from a Meilisearch index.

Full Text Search

Performs a full text search on a Meilisearch index

Get Document

Retrieve a document from a Meilisearch index using the given Document ID.

Hybrid Search

Performs a hybrid search combining full-text and attribute-based filtering, returning a JSON object or an array of them. For more details on using vector search in MeiliSearch, visit the [official documentation](https://www.meilisearch.com/docs/learn/experimental/vector_search#using-vector-search).

Update Document

Update a single document in MeiliSearch. Accepts a JSON object representing the document and updates it.

Update Documents

Update multiple documents in MeiliSearch by sending an array of JSON objects.

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Update Synonyms

Update the synonyms for any index in your MeiliSearch instance

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FFmpeg NODES

Audio Overlay

Overlay audio on top of an existing video using FFmpeg.

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Combine Audio

Combine multiple audio files into one.

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Combine Videos

Combine multiple videos into one, ensuring they all share a common resolution.

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Compress Audio

Compresses an audio file (.mp3, .m4a) using FFmpeg

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Compress Video

Compresses a video file using FFmpeg

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Convert Video Format

Converts the specified video from one format to another. NOTE: This process can be compute intensive depending on the size of the video.

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blog posts & tutorials

Recommended Reads

Below are recommneded blogs that will help in your journey