# FFmpeg Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/ffmpeg
> Markdown URL: https://aitinkerers.org/technologies/ffmpeg.md
> Technology record last updated: 2026-09-18T15:13:50Z
> Generated: 2026-09-20T20:36:25Z

FFmpeg is the leading, open-source multimedia framework: it decodes, encodes, transcribes, muxes, demuxes, streams, and filters almost any audio or video format.

FFmpeg is a powerful, cross-platform command-line utility and library suite (LGPL/GPL) for processing multimedia content. The core `ffmpeg` tool handles universal format conversion—like transcoding an input MP4 to an output WebM—while bundled utilities like `ffprobe` provide deep stream analysis and `ffplay` offers simple playback. Its foundational libraries, including `libavcodec` (for codecs) and `libavformat` (for containers), support thousands of formats and protocols, making it indispensable for major platforms like YouTube and VLC for everything from real-time streaming to complex video filtering.

- Official technology site: https://ffmpeg.org
- Public AI Tinkerers demos and talks: 16
- Result page: 1 of 1

## Recent Public Talks and Demos

### [AI powered software for Physics Laboratories](https://lahore.aitinkerers.org/talks/rsvp_MpYgRd0NfCY)

The project is about building a software that integrates a streamlined UI with AI tools like object tracking and OCR, to help young physics laboratory students validate physical theories and principles from lab video footage. I'll demo the software live, either on my laptop or a windows machine. I'll walk through the software functions using actual lab videos. I'll walk through the code design and main components of the software.

- Event context: AI Tinkerers Lahore: September 19, 2026 — 2026-09-19 — Lahore
- Public talk page: https://lahore.aitinkerers.org/talks/rsvp_MpYgRd0NfCY

### [Agentic video editing pipeline](https://montreal.aitinkerers.org/talks/rsvp_5bqTjWicF8s)

After interviewing 50+ video editors, head of marketing, film directors, we found the boring part of the professional video editing job that can be automated. I will demo the main video ingestion workflow: transcode to 480p using ffmpeg, upload that video to GCS, takes some frames and use it for classification, ask gemini to look at the video for video understanding, piping the audio to assemblyai for the transcript, use ffmpeg to segment the video, use gemini embedding on each segment so it is searchable.

- Event context: AI Tinkerers Montreal - May Demo Meetup @ Ubisoft — 2026-05-26 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_5bqTjWicF8s

### [SaveSora: Downloading & Watermark Removal for OpenAI Sora Videos](https://dc.aitinkerers.org/talks/rsvp_zio-5LxaGn4)

SaveSora is a free web tool that breaks through OpenAI Sora's download restriction. Sora only lets you download your own videos — SaveSora lets you grab any publicly shared Sora video via link, view its original generation prompt, and remove the Sora 2 watermark automatically. No login, no fees, works in the browser instantly.

- Event context: AI Tinkerers x Softengi - DC Metro Meetup - April 9th, 2026 — 2026-04-09 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_zio-5LxaGn4

### [Reverse-Engineering Video Editing Styles into Programmatic Templates via AI](https://dublin.aitinkerers.org/talks/rsvp_6EoN2x9ohBc)

I am building a feature for my video automation platform (shablon.co) that eliminates the manual toil of replicating complex video formats. Instead of manually adjusting cuts and keyframes, a user inputs a reference video. The system processes the file, analyzes the visual and auditory components (cut frequency, typography, motion graphics, transitions, and pacing), and extracts these parameters into a structured, programmatic template. It essentially reverse-engineers a final render back into a parameterized blueprint that can be instantly applied to fresh raw footage.

- Event context: AI Tinkerers Dublin Meetup — Baseline, April 9, 2026 — 2026-04-09 — Dublin
- Public talk page: https://dublin.aitinkerers.org/talks/rsvp_6EoN2x9ohBc

### [Solving Cold Start GTM with Claude Code (and Zero Headcount)](https://seattle.aitinkerers.org/talks/rsvp_saEaMuqlges)

Loupe is a luxury watch market intelligence and tool platform designed for collectors and dealers. With a one-person team and Claude Code, we ship SEO landing pages, Instagram content (carousels, reels, stories), editorial guides, across 22+ watch brands, all from CC. In this demo, I'll walk through the actual workflows: how a single CLI session can research a topic, query Supabase for watch data, generate templated visuals with Puppeteer, compose ffmpeg reels with Ken Burns and transition effects, and push a finished landing page and associated Instagram reel to production. Leveraging Claude Code with custom slash commands, custom MCP integrations, and a growing skills library that turns repetitive GTM work into repeatable pipelines. I'll show the real session transcripts, the messy iterations, and the parts that broke. Leveraging this method, we've grown from 0 to 100 followers in a week.

- Event context: AI Tinkerers Seattle: GTM Track — March — 2026-03-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_saEaMuqlges

### [Easy indexing of NASCAR archived footage](https://seattle.aitinkerers.org/talks/rsvp_-X1ysKvGvHA)

I'm excited to show off what I've been doing but actually, I'm looking for feedback and advice. The last time I did this I worked on Bing Image and Video search and it was a custom pipeline and mostly we just wanted to find video clips, not really search within them for specific scenes. For NASCAR I need a low-cost rapid way to index race footage for a project I'm working on. So far, I have used Amazon Rekognition and Twelve Labs. I will demo both but if someone in the group has experience using these or other off the shelf indexing tools and integrating into Media Asset Management solutions I'd love to connect.

- Event context: October Meetup - Science Fair at Foundations — 2025-10-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_-X1ysKvGvHA

### [Local Transcription](https://valencia.aitinkerers.org/talks/rsvp_VfuECFTODQ8)

Too many meetings and recordings have private information that you dont want shared with 3rd party transcription services and platforms. I built a simple terminal app that transcribes all my meetings and recordings without using the platform automations. This runs with one command and does file cleanup. Its simple and rough, but it gets the job done reliably.

- Event context: Opening AI Tinkerers Valencia x VDS - 22 October — 2025-10-22 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_VfuECFTODQ8

### [AI Powered Personal Knowledge Management Tool](https://nairobi.aitinkerers.org/talks/rsvp_1cLsFeWGat8)

I am building a personal knowledge management tool that collects content from a person's various social media accounts (linkedIn, twitter, IG, reddit), uses AI to extract all the relevant information from each entry, and puts in a database to make the content easy to search, access and interact with.

- Event context: AI Tinkerers Nairobi – Sep 25, 2025 Meetup — 2025-09-25 — Nairobi
- Public talk page: https://nairobi.aitinkerers.org/talks/rsvp_1cLsFeWGat8

### [LuchaCoach: Your AI Meeting Sparring Partner](https://austin.aitinkerers.org/talks/rsvp_EZhXzUbQoH4)

I’ll demo LuchaCoach, a macOS app I built as a personal AI meeting coach. It records both mic and system audio, transcribes with Whisper, then uses GPT-4 to track goals, give live feedback during calls, and tell me when I’m rambling or missing key points. Think of it as a little lucha libre voice in your ear helping you not say something dumb. This project was born from two disappointments: I love what Granola.ai is doing, but their pricing and growth-driven roadmap pushed the product away from being a focused coach. And my Rabbit R1? Let’s just say it doesn’t show up for practice. LuchaCoach is my response: local-first, smart, and focused only on making your conversations sharper.

- Event context: Community AI Demos – Austin • July 10 2025 — 2025-07-10 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_EZhXzUbQoH4

### [Flujo de Procesamiento para Generación de Video](https://medellin.aitinkerers.org/talks/rsvp_rdqGSUlckpE)

Generar videos largos y de alta calidad a partir de texto es un desafío debido a las limitaciones de los modelos actuales de video con inteligencia artificial: - La mayoría de los modelos solo pueden generar clips cortos de 5 a 10 segundos - La calidad se degrada en videos más largos debido al "drifting" (deriva) - Es difícil mantener la consistencia de los personajes - Las GPU de gama alta (como las H200) no están al alcance de todos - Este flujo de procesamiento soluciona estos problemas mediante: - La división de tu prompt largo en segmentos óptimos - La creación de imágenes clave (keyframes) para cada segmento - La generación de video entre keyframes con continuidad - El procesamiento de segmentos en paralelo usando múltiples GPU o APIs en la nube - La combinación de todo en un video final sin interrupciones

- Event context: AI Tinkerers Medellín #13 - SoftServe - 29 de Mayo, 2025 — 2025-05-29 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_rdqGSUlckpE

### [Flujo de Procesamiento para Generación de Video](https://manizales.aitinkerers.org/talks/rsvp_aAPTqaBN5fU)

Generar videos largos y de alta calidad a partir de texto es un desafío debido a las limitaciones de los modelos actuales de video con inteligencia artificial: - La mayoría de los modelos solo pueden generar clips cortos de 5 a 10 segundos - La calidad se degrada en videos más largos debido al "drifting" (deriva) - Es difícil mantener la consistencia de los personajes - Las GPU de gama alta (como las H200) no están al alcance de todos - Este flujo de procesamiento soluciona estos problemas mediante: - La división de tu prompt largo en segmentos óptimos - La creación de imágenes clave (keyframes) para cada segmento - La generación de video entre keyframes con continuidad - El procesamiento de segmentos en paralelo usando múltiples GPU o APIs en la nube - La combinación de todo en un video final sin interrupciones

- Event context: 🚀 ¡Cuarto Encuentro de AI Tinkerers Manizales! 🤖 — 2025-05-28 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_aAPTqaBN5fU

### [Edit AI - AI Powered Video Production Platform](https://denver-boulder.aitinkerers.org/talks/rsvp_p5Rfp5WL_Ug)

EditAI is an AI video editor that streamlines your efforts and saves time to edit & customize videos, empowering content creators and editors to replace manual workflows with smart AI-driven processes. AI-Driven Customization Automatically adds graphics, B-rolls, subtitles, transitions, soundtracks, and background music Personalizes content based on user preferences Time-Saving and User-Friendly Significantly reduces manual work Accelerates the editing process Makes video creation fast and accessible for everyone Smart Workflow Allows creators to focus on creativity rather than technical details

- Event context: Open Source & Creative AI: Using ComfyUI for Real Time Video AI — 2025-02-25 — Denver
- Public talk page: https://denver-boulder.aitinkerers.org/talks/rsvp_p5Rfp5WL_Ug

### [Seguridad Infantil: El Uso de Cámaras de Video e IA para el Cuidado de Niños](https://bogota.aitinkerers.org/talks/rsvp_GHOgUtTJPL0)

El proyecto "Seguridad Infantil" tiene como meta principal el desarrollo de un sistema de monitoreo inteligente que emplea cámaras de video equipadas con inteligencia artificial (IA) para salvaguardar la seguridad y el bienestar de los niños. Este sistema está diseñado para ofrecer a padres y cuidadores una herramienta efectiva que les permita supervisar a los menores, detectar situaciones de riesgo y responder de manera ágil ante posibles emergencias. El proyecto incluye varios procesos clave, tales como: Redes Neuronales Convolucionales (CNN): Estas son fundamentales para la detección y clasificación de imágenes. Se emplearán técnicas de transferencia de aprendizaje, utilizando conjuntos de datos específicos para entrenar modelos que mejoren la precisión al identificar situaciones de riesgo. Análisis de Video en Tiempo Real: La implementación de IA permitirá analizar transmisiones de video en vivo, facilitando la identificación de comportamientos peligrosos en tiempo real. Análisis Predictivo: Se aplicarán modelos de aprendizaje automático que examinarán datos históricos para anticipar comportamientos de riesgo e identificar patrones relacionados con la victimización. Estos modelos se alimentarán con información sobre interacciones reales de peligro. Modelos de Redes Neuronales Recurrentes (RNN): Se utilizarán RNN para el análisis de series temporales, lo que permitirá comprender las variaciones en el comportamiento de un niño a lo largo del tiempo y detectar señales tempranas de riesgo. Privacidad Diferencial: Se garantizará que los sistemas de IA cumplan con normativas de protección de datos, como el GDPR o el COPPA, mediante la implementación de técnicas de privacidad diferencial. Esto permitirá a las organizaciones obtener información valiosa sin poner en riesgo la privacidad de los menores.

- Event context: AI Tinkerers Bogotá - Women Edition — 2024-11-28 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_GHOgUtTJPL0

### [Automating my own video editing with whisper, ffmpeg and llms](https://amsterdam.aitinkerers.org/talks/rsvp_ndSVOIxM5xc)

When recording videos for my own startup content (which is about llm monitoring not related to videos at all), I kinda found a good flow recording it, but I loathe how much time I spend editing it, and it's not complicated edits, I started seeing some patterns so I thought it could be automated easily with tech we already have, still not perfect but the results are super good, wanted to share the hacks I threw together for it to work

- Event context: AI Tinkerers Amsterdam - November — 2024-11-12 — Amsterdam
- Public talk page: https://amsterdam.aitinkerers.org/talks/rsvp_ndSVOIxM5xc

### [Revideo - Create Videos with Code & AI](https://berlin.aitinkerers.org/talks/rsvp_md0QZAAgEJ8)

Revideo is an open source framework for programmatic video editing. It lets you create video templates in Typescript and deploy an API endpoint to render them with dynamic inputs. You can use Revideo to build video editing apps or to automate certain video editing tasks, especially when combining it with the use of AI tools. Companies are using Revideo to generate RPG video stories with the help of AI, or to mass-generate and A/B-test video ads. The biggest challenge we faced when building Revideo was enabling fast video rendering speeds. We render videos onto an HTML Canvas, so we needed to extract a bunch of frames from a canvas element and encode them as videos. We went through multiple iterations, first relying purely on HTML APIs, then using ffmpeg and later switching to the browser again to use the WebCodecs API. All in all, we were able to improve speeds by 70x over just one week. Interestingly, using the WebCodecs API might enable us to move all rendering to the browser, therefore enabling developers to not have to maintain any servers for rendering themselves. We'll talk about the challenges that still need to be solved to get there

- Event context: Ollama & Friends coming to AI Tinkerers Berlin — 2024-07-18 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_md0QZAAgEJ8

### [Youdub.ai](https://chicago.aitinkerers.org/talks/rsvp_7lwDh9IRUMs)

Paste in a YouTube URL and some words and get a new video in the speaker's own voice saying the words.

- Event context: AI Tinkerers Chicago December Meetup — 2023-12-05 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_7lwDh9IRUMs

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