Cross-Platform Flutter and React-Native Plugin – FFmpeg-Kit-Extended

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Full featured React-Native and Flutter plugin that lets you execute FFmpeg, FFprobe and FFplay commands without needing to deploy those executables. Get the full power of FFmpeg at native performance level. Includes support for 100+ external libraries with pre-bundled preset distributions for 24 different binaries distributed per platform with various included features plus the ability to deploy custom builds. https://github.com/akashskypatel/ffmpeg-kit-extended https://www.npmjs.com/package/ffmpeg-kit-extended https://pub.dev/packages/ffmpegkitextended_flutter Core features: - Cross-Platform Support: Works on Android, iOS, macOS, tvOS, Linux and Windows. -- Android: Full video playback support with native surface rendering. --- x86: x86 architecture is not supported due to its legacy status. -- iOS & macOS: High-performance video playback with CVPixelBuffer and Metal integration. -- iOS: Supports both physical devices and simulators. x86_64 architecture is not supported due to its legacy status. - FFmpeg, FFprobe & FFplay: Latest 8.1.2 API support for media manipulation, information retrieval, and audio/video playback. - Video Playback: Complete cross-platform video playback with unified surface API. - Real-time Streaming: Position and video dimension streams for live playback monitoring. - Asynchronous Execution: Run long-running tasks without blocking the UI thread. - Parallel Execution: Run multiple tasks in parallel. - Callback Support: detailed hooks for logs, statistics, and session completion. - Session Management: Full control over execution lifecycle (start, cancel, list). - Extensible: Designed to allow custom native library loading and configuration. - Full package Introspection API: Get detailed information about the package, including version, build date, and available muxers, demuxers, encoders, decoders, filters, etc. - Deploy Custom Builds: You can deploy custom builds of ffmpeg-kit-extended. See: https://github.com/akashskypatel/ffmpeg-kit-builders - Prebuilt Distributions: Supported pre-built bundle types are debug, base, full, audio, video, and video_hw. - Supported Licenses: supports both GPL and LGPL licenses Platform Support: Android (and Android TV) - Flutter & React-Native iOS (and Simulator) - Flutter & React-Native tvOS (and Simulator) - React-Native macOS - Flutter & React-Native Linux - Flutter Windows - Flutter & React-Native Flutter currently does not natively support tvOS, so tvOS support is not available for Flutter. React-native currently does not natively support Linux, so Linux support is not available for React-native. Demo : https://raw.githubusercontent.com/akashskypatel/ffmpeg-kit-e...

Visit product View on Hacker NewsJul 25, 2026

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, para, ios · Missing: reddit linkedin, podcasting, created

95%95% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, user · Missing: agents, agent, cursor

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios, video, para · Missing: mobile apps, personal, entrepreneurs

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io, including · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, platform, builder · Missing: intuitive, reviews, host

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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