Search Results for "video encoder"
Sort By:
Showing 119 open source projects for "video encoder"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Earn up to 16% annual interest with Nexo.Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
Shutter Encoder
Free professional video converter Windows|Mac|Linux
Shutter Encoder is an video, audio and image converter based on FFmpeg and other great tools. It has been designed by video editors in order to be as accessible and efficient as possible. It's a swiss knife tool for any video editor. Link to website & downloads : https://www.shutterencoder.com - Without conversion: Cut without re-encoding, Replace audio, Rewrap, Conform, Merge, Extract, Subtitling, Video inserts - Sound conversions: WAV, AIFF, FLAC, ALAC, MP3, AAC, AC3, OPUS, OGG - Editing codecs: DNxHD, DNxHR, Apple ProRes, QT Animation, GoPro CineForm, Uncompressed YUV - Output codecs: H.264, H.265, VP8, VP9, AV1, OGV - Broadcast codecs: XDCAM HD422, AVC-Intra 100, XAVC, HAP - Old codecs: DV PAL, MJPEG, Xvid, WMV, MPEG - Archiving codec: FFV1 - Images creation: JPEG, Image - Burn & Rip: DVD, Blu-ray, DVD RIP - Analysis: Loudness & True Peak, Audio normalization, Cut detection, Black detection, Media, VMAF - Download: Web video... -
2
rav1e
The fastest and safest AV1 encoder
rav1e is an open-source implementation of an encoder for the AV1 video codec, developed in Rust (with some assembly) by the community around Xiph Foundation. Its design philosophy is to start from a correct, minimal, and fast AV1 encoder — sacrificing some encoding speed/efficiency of reference encoders in exchange for simplicity, stability, and compilability across platforms — and then gradually improve. -
3
Encoder of Death is a video/audio file encoding app. Batch Processing: Encode multiple files simultaneously in queue. Audio/Video Conversion: Convert between video formats or extract audio from video. Format Support: Audio: MP3, WAV, FLAC, AIFF, AAC, M4A, OGG Video: MP4, MKV, AVI, MOV, WebM, FLV, WMV, MPEG, MPG, M4V, 3GP 1-27-25, I addressed the issue of FFmpeg not bundling with the executables.
-
4
rtmp-rtsp-stream-client-java
Library to stream in rtmp and rtsp for Android. All code in Java
Library for streaming in RTMP and RTSP. All code in Java. -
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
5
StaxRip
Video encoding GUI for Windows
StaxRip is a powerful, open-source video and audio encoding GUI for Windows that orchestrates industry-standard console tools (such as x265, FFmpeg, mkvmerge) and frame-server systems (like AviSynth+ or VapourSynth) to allow users to transcode, mux, remux, or process media files with fine-grained control. It is not a “one-click” encoder; instead, it grants the user deep control over encoding settings, filtering, resizing, cropping, subtitles, audio processing, container formats, and more — making it a tool of choice for videophiles, enthusiasts, and anyone needing high-quality and customized media output. ... -
6
Memvid
Video-based AI memory library. Store millions of text chunks in MP4
Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards. -
7
VidCoder
A Blu-ray, DVD and video file transcoder for Windows
VidCoder is a Windows-based open-source video transcoding and ripping tool that provides a graphical interface built around standard command-line multimedia tools. It lets users convert video files (or rip DVDs/Blu-rays, when supported) into modern formats and codecs, making it useful for people who want to compress, re-encode, or transcode video content without dealing directly with low-level encoder settings. -
8
Perception Models
State-of-the-art Image & Video CLIP, Multimodal Large Language Models
Perception Models is a state-of-the-art framework developed by Facebook Research for advanced image and video perception tasks. It introduces two primary components: the Perception Encoder (PE) for visual feature extraction and the Perception Language Model (PLM) for multimodal decoding and reasoning. The PE module is a family of vision encoders designed to excel in image and video understanding, surpassing models like SigLIP2, InternVideo2, and DINOv2 across multiple benchmarks. ... -
9
Internet Friendly Media Encoder
Simple, Flexible & Powerful H.265/HEVC & H266/VVC video encoder!
A versatile, future-proof, and expandable multimedia encoder designed for ease of use. Internet Friendly Media Encoder supports adding subtitles and attachments, and can function as a remuxing tool with a Copy Stream option. It allows you to combine multiple video, audio, subtitle, and attachment streams into a single file, remove unwanted streams, or incorporate subtitles from another video without extracting. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
10
vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
VJEPA2 is a next-generation self-supervised learning framework for video that extends the “predict in representation space” idea from i-JEPA to the temporal domain. Instead of reconstructing pixels, it predicts the missing high-level embeddings of masked space-time regions using a context encoder and a slowly updated target encoder. This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. ... -
11
AV1 AVIF
AV1 Image File Format Specification - ISO-BMFF/HEIF derivative
AV1 AVIF is the official specification and reference design for the AV1 Image File Format (AVIF), defining how AV1-encoded bitstreams are packaged into the HEIF container format (based on ISOBMFF) to produce AVIF files. The project outlines the syntax and semantics required for AVIF compliance, including support for multiple image profiles, color depths, chroma subsampling modes, HDR/WCG, alpha channels, animation/image sequences, and various color-space/bit-depth combinations — making AVIF... -
12
LatentSync
Taming Stable Diffusion for Lip Sync
...The system leverages a U-Net diffusion backbone, with cross-attention of audio embeddings (via an audio encoder) and reference video frames to guide generation, and applies a set of loss functions (temporal, perceptual, sync-net based) to enforce lip-sync accuracy, visual fidelity, and temporal consistency. Over versions, LatentSync has improved temporal stability and lowered resource requirements — making inference more practical (e.g. 8 GB VRAM for earlier versions, somewhat higher for latest models). -
13
Kimi K2.5
Moonshot's most powerful AI model
...Designed for agentic workflows, it features an Agent Swarm mechanism that decomposes complex problems into coordinated sub-agents executing in parallel. With a 256K context length and MoonViT vision encoder, the model excels across reasoning, coding, long-context comprehension, image, and video benchmarks. Kimi K2.5 is available via Moonshot’s API (OpenAI/Anthropic-compatible) and supports deployment through vLLM, SGLang, and KTransformers. -
14
JEPA
PyTorch code and models for V-JEPA self-supervised learning from video
JEPA (Joint-Embedding Predictive Architecture) captures the idea of predicting missing high-level representations rather than reconstructing pixels, aiming for robust, scalable self-supervised learning. A context encoder ingests visible regions and predicts target embeddings for masked regions produced by a separate target encoder, avoiding low-level reconstruction losses that can overfit to texture. This makes learning focus on semantics and structure, yielding features that transfer well... -
15
FFmpeg Batch AV Converter
Free all in one audio/video ffmpeg batch encoder
FFmpeg Batch AV Converter is a free universal audio and video encoder for Windows and Linux (via Wine), that allows to use the full potential of ffmpeg command line with a few mouse clicks in a convenient GUI with drag and drop, progress information. Some fancy wizards make things easy for non-experts. Thanks to its multi-file encoding feature, it may be the fastest a/v batch encoder available, since it maximizes system resources usage by launching as many simultaneous processes up to user cpu thread count. ... -
16
Qwen-2.5-VL
Qwen2.5-VL is the multimodal large language model series
Qwen2.5 is a series of large language models developed by the Qwen team at Alibaba Cloud, designed to enhance natural language understanding and generation across multiple languages. The models are available in various sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B parameters, catering to diverse computational requirements. Trained on a comprehensive dataset of up to 18 trillion tokens, Qwen2.5 models exhibit significant improvements in instruction following, long-text generation... -
17
HunyuanOCR
OCR expert VLM powered by Hunyuan's native multimodal architecture
HunyuanOCR is an open-source, end-to-end OCR (optical character recognition) Vision-Language Model (VLM) developed by Tencent‑Hunyuan. It’s designed to unify the entire OCR pipeline, detection, recognition, layout parsing, information extraction, translation, and even subtitle or structured output generation, into a single model inference instead of a cascade of separate tools. Despite being fairly lightweight (about 1 billion parameters), it delivers state-of-the-art performance across a... -
18
NVIDIA Isaac GR00T
NVIDIA Isaac GR00T N1.5 is the world's first open foundation model
NVIDIA Isaac‑GR00T N1.5 is an open-source foundation model engineered for generalized humanoid robot reasoning and manipulation skills. It accepts multimodal inputs—such as language and images—and uses a diffusion transformer architecture built upon vision-language encoders, enabling adaptive robot behaviors across diverse environments. It is designed to be customizable via post-training with real or synthetic data. The vision-language model remains frozen during both pretraining and... -
19
Gifski
Convert videos to high-quality GIFs on your Mac
This is a macOS app for the gifski encoder, which converts videos to GIF animations using pngquant's fancy features for efficient cross-frame palettes and temporal dithering. It produces animated GIFs that use thousands of colors per frame and up to 50 FPS (useful for showing off design work on Dribbble). You can also produce smaller lower quality GIFs when needed with the “Quality” slider, thanks to gifsicle. -
20
MMC is a commander-style media player for Windows, with native, hw accelerated video playing and translucent gui. Mpxplay is a console audio player for DOS and Win32 operating systems. x264vfw, x265vfw and xAV1vfw are video for windows encoder and decoder codecs, useful with VirtualDub.
-
21
ffxvid
Small script to encode to Xvid video
ffxvid is a TUI (Terminal User Interface) Bash shell program script written for the GNU/Linux and BSD operating systems for encoding video files to the MPEG4 Part 2/Xvid video format using the FFmpeg encoder and the libxvid library. Targeted primarily at encoding of full-length feature films and film series but it can be used for other content as well. -
22
mulder
MuldeR's OpenSource Projects
OpenSource development since 2004. Featured projects: * LameXP - audio encoder front-end * MPlayer for Windows - custom MPlayer installer for Win32 * Simple x264 Launcher - simple GUI front-end for x264 * Many more... -
23
q4rescue
A live linux Rescue toolkit/Emergency OS - based on q4os Trinity
A live linux system rescue toolkit based on q4os Trinity available as a bootable iso for administrating, repairing and cloning/restoring your system and data. Check wiki for full description : https://sourceforge.net/p/q4rescue/wiki/ Main tools: -Foxclone -Rescuezilla -Clonezilla -DDrescue-gui -qtfsarchiver -G4L -Apart -Testdisk -Photorec -Boot Repair -WoeUSB -Q4OS imager -UNetbootin -usbimager -Kdirstats -Kdiskmark -Rclone & Rclone... -
24
Virtualdub Batch Video DeShake v26.0204
Batch to compress [and deshake] all videos [or images] in folder
Installation: Execute "DeShakInst.BAT" VirtualDub2 44282; AviSynth+ 3.7.5 updated to C:\DVD DESHAK.BAT updated to C:\UT and added to PATH Usage: DESHAK task[s] [parameters] Tasks: tp1: deshake pass1 LOG generation for 2nd pass tp2: deshake pass2 and compress video and audio to MP3 tcomp: compress (no deshake) twav: extract WAV and/or uses external WAV audio Parameters (more in help): vEXT: video extension (ie: vmov), default: vAVI qN: h264 quality 1-9 (9=lossless), def: q3 (crf23) aN: mp3 quality 1-5, def: a3 (192k) * generates: ZZoriginalname.AVI * some settings at begining ie: vdPath Min Requirements: XP; Win7x64 for aviSynth video NoiseReduction Klite Mega Codec Pack (with LAME encoder) Other Utilities: LOG2CHAPS.BAT generate _OGG.txt chapters @ scene change VID2AUD.BAT extract Audios VID2MKV.BAT multiplex vid+aud+chapters VIDJOIN.BAT merges videos to MKV -
25
Lyra
A Very Low-Bitrate Codec for Speech Compression
lyra is a neural audio codec designed to deliver intelligible, natural-sounding speech at extremely low bitrates, making real-time communication viable on constrained networks. It replaces hand-engineered codecs with learned models that capture speech characteristics more efficiently and reconstruct waveforms with a neural vocoder. The system targets mobile-class hardware, balancing latency and quality so it can run in real-time on phones. Its architecture is resilient to packet loss and...
