v-modal/vmodal_sdk_flutter

AI repository intelligence

FR-AI / ANALYSIS

Why it is worth attention

It provides a typed, native Flutter API for semantic video search using natural language, speech, text, and imagery, with streaming uploads and full cancellation support.

Who it is for

Flutter mobile developers
Developers building video-centric applications
Teams seeking multimodal search in their apps
Developers needing controlled, app-owned credential management

Use cases

Search video libraries by spoken words or displayed text via ASR/OCR
Find visual moments in videos using natural language queries
Upload videos from device storage or camera with live progress and cancellation
Integrate multimodal search into existing Flutter apps without custom login UI

Strengths

Typed, small Dart API with focused resource classes (auth, searches, collections, etc.)
Streamed uploads that avoid loading entire files into memory
Per-operation cancellation tokens for reliable lifecycle management
App-owned runtime credentials with no imposed login screen

Considerations

Flutter Web is not supported in the current release
Multipart upload is experimental and requires explicit opt-in
Requires Flutter 3.44+ and Dart 3.12+, limiting compatibility with older projects

README quick start

VModal for Flutter Give your Android and iOS apps a multimodal memory. Upload video. Find moments by meaning, speech, text, or imagery.Keep the experience fast, native, and 100% Flutter.

Turn every video library into an experience your users can explore.

Build the feature people remember

VModal brings multimodal video search and mobile-friendly uploads to Dart with a small, typed API. Your app owns the interface; the SDK handles the VModal gateway, request models, responses, upload streams, progress, and cancellation.

Your Flutter experience	VModal gives you
“Find the cyclist in the red jacket”	Semantic video and image search
Search words spoken or shown on screen	ASR and OCR search sources
Upload from a picker or camera flow	Streamed, signed uploads with live progress
A cancel button that really cancels	Per-operation cancellation tokens
Collection and indexing screens	Typed collection, index, usage, and image resources
Login and account switching your way	App-owned runtime credentials—no login UI imposed

Gettting started with one prompt

Copy this prompt into your coding agent:

1. Clone https://github.com/v-modal/vmodal_sdk_flutter.git and enter the
   vmodal_sdk_flutter directory.
2. Inspect the repository instructions and
   example/01_full_app/README.md before making changes.
3. Use the repository's pinned Flutter toolchain; do not install another
   global Flutter version. Run:
     bash install.sh install
     bash build.sh pub_get
     bash build.sh analyze
     bash build.sh test
4. Start or select an Android emulator/device or, on macOS, an iOS
   simulator/device. List devices with:
     flutter_bin="$(bash install.sh flutter_bin)"
     "$flutter_bin" devices
5. Run example/01_full_app on the selected mobile device with:
     bash run.sh example --device DEVICE_ID

Keep working until the app builds, installs, and opens. Fix any repository
setup issue you can safely resolve. Do not add Flutter Web support, hard-code
credentials, or persist an API key. When the app opens, explain how to enter a
runtime VModal API key and complete the authentication, collection, upload,
index, and search flow. If a required host tool, emulator, simulator, or API
key is unavailable, stop at that boundary and report the exact blocker and the
next command I should run.
`

Description

V- Modal AI: Search anything anywhere SDK Flutter

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