# v-modal/vmodal_sdk_flutter

V- Modal AI: MultiModal Video Search - SDK Flutter

Repository: https://github.com/v-modal/vmodal_sdk_flutter
Canonical: https://ross.abutalabs.com/products/vmodal_sdk_flutter
Homepage: https://v-modal.com
Language: Dart
License: MIT
License Family: permissive
Topics: android-app, android-sdk, android-ui, flutter, flutter-app, flutter-apps, flutter-examples, flutter-ui, visual-search, visual-semantic, visual-sentiment-analysis, android-library, android-package, androidstudio, flutter-package, flutter-web
Last push: 2026-08-25T06:11:58+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 3
- inputs: {"age_days": 48, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1448, forks 4 (observed 2026-08-28T04:04:45.544606+00:00)

## What it is
VModal for Flutter is a Dart/Flutter SDK that adds multimodal video search (semantic, ASR, and OCR based) and streamed video uploads to Android and iOS apps. It provides a small typed API covering the VModal gateway, request/response models, upload progress, and per-operation cancellation while leaving the UI and credentials fully app-owned.

## Use cases
- search inside videos by describing a scene like 'find the cyclist in the red jacket'
- find moments in video by words spoken or shown on screen
- upload videos from a picker or camera flow with live progress and cancellation
- add visual semantic search to a Flutter mobile app
- manage video collections and indexing from Dart
- build a searchable video library experience in a mobile app

## When to choose
- you are building a Flutter app for Android or iOS that needs multimodal video or image search
- you want streamed, resumable-style uploads with progress and cancellation in Dart
- you need ASR and OCR as search sources over your video library
- you want a typed SDK without an imposed login UI or interface

## When to avoid
- you need video search on platforms other than Android/iOS or outside Flutter
- you want a fully hosted, ready-made search UI rather than an SDK you build on
- your project requires a server-side SDK rather than a mobile client library
- you need offline video search without a cloud gateway

## Facets
- artifact type: library
- maturity: active
- function: sdk, search-engine, video-processing, image-processing, ocr, speech-recognition, http-client, file-upload
- domain: machine-learning, mobile-development, cross-platform, apis
- platform: cross-platform
- tags: flutter, flutter-sdk, multimodal-search, visual-search, semantic-video-search, video-indexing, asr, upload-streaming, cancellation-tokens, video, search, android, ios, mobile

## Member repositories
- v-modal/vmodal_sdk_flutter (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.544606+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:36:04.888129+00:00, confidence not recorded.
  - readme: https://github.com/v-modal/vmodal_sdk_flutter (fetched 2026-08-28T04:04:45.544606+00:00, sha 90b4b4d2a06c)
  - homepage: https://v-modal.com (fetched 2026-08-29T11:45:47.339286+00:00, sha 92c7b6af566f)
- Data as of 2026-08-30T08:39:29.467469+00:00.