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ClipSE logo

ClipSE

Self-hosted AI clip production for long-form video.

CI Docker Images License: AGPL-3.0-only TypeScript pnpm

ClipSE turns long videos into short, reviewable clips. Upload a video or add a video URL, transcribe it, ask an AI model to find promising short-form moments, review the suggestions in the browser, then render and download the clips you want to keep.

The default deployment is Docker Compose and includes the web app, worker, PostgreSQL, local S3-compatible storage, and a Whisper transcription service. You control the app, data, model choices, storage, and runtime.

Features

  • Local account sign-up with Better Auth.
  • Video upload and URL intake through yt-dlp.
  • Whisper transcription through faster-whisper or Hailo-10H.
  • AI clip analysis through OpenAI, Gemini, OpenRouter, or Codex CLI.
  • Browser review flow with transcript context, clip timing, and render controls.
  • Vertical-short focus detection with local detectors or Hailo-10H vision/VLM backends.
  • S3-compatible media storage using Garage by default.
  • Published GHCR images plus local build overrides.

Quick Start

Run ClipSE with published images:

mkdir clipse
cd clipse
curl -fsSLO https://raw.githubusercontent.com/fixtse/ClipSE/main/docker-compose.yml
curl -fsSLO https://raw.githubusercontent.com/fixtse/ClipSE/main/docker-compose.cpu.yml
curl -fsSLO https://raw.githubusercontent.com/fixtse/ClipSE/main/docker-compose.intel.yml
curl -fsSLO https://raw.githubusercontent.com/fixtse/ClipSE/main/docker-compose.hailo.yml
curl -fsSLO https://raw.githubusercontent.com/fixtse/ClipSE/main/.env.example
mkdir -p services/garage
curl -fsSLo services/garage/garage.toml https://raw.githubusercontent.com/fixtse/ClipSE/main/services/garage/garage.toml
cp .env.example .env
mkdir -p models/whisper models/yolo models/hailo
docker compose up -d

Open http://localhost:3000, create a local account, then open the workspace settings to choose your AI provider, analysis model, transcription backend, and transcription model.

Stop the stack:

docker compose down

Remove persistent database and object-storage data:

docker compose down -v

Repository Setup

From a cloned checkout:

cp .env.example .env
docker compose up -d

For any non-local deployment, replace the default auth secret before starting:

openssl rand -base64 32

Set the generated value as BETTER_AUTH_SECRET in .env, and set BETTER_AUTH_BASE_URL to the public app URL. If the app is reachable from additional browser origins, add them to BETTER_AUTH_TRUSTED_ORIGINS as a comma-separated list.

How To Use ClipSE

  1. Sign in or create the first local account.
  2. Open settings and configure an AI provider.
  3. Choose the transcription provider and model.
  4. Create a channel.
  5. Add a video by uploading a file or pasting a video URL.
  6. Start transcription.
  7. Run AI analysis to generate clip suggestions.
  8. Review the suggested clips and adjust timing as needed.
  9. Render clips with the selected aspect and subtitle options.
  10. Download the finished clips.

App Options

AI Analysis Providers

Configure these inside the app settings after sign-in.

Provider Required settings Notes
openai OpenAI API key, model Uses the official OpenAI-compatible API. Optional base URL can point at another OpenAI-compatible service.
gemini Gemini API key, model Loads available Gemini models from Google when an API key is present.
openrouter OpenRouter API key, model Loads models from OpenRouter.
codex Codex model Uses the Codex CLI mounted into the app and worker containers. Run codex login on the host first.

Transcription Providers

Provider Models Notes
faster-whisper small, medium, large-v3-turbo Default provider. The default AI Docker service uses CUDA.
hailo whisper-tiny, whisper-base, whisper-small Hailo-10H inference backend through docker-compose.hailo.yml.

Hailo host setup requires the UGen300/Hailo PCIe driver before Compose can pass /dev/h1x-0 into the container:

curl -fsSL "https://raw.githubusercontent.com/fixtse/ClipSE/main/scripts/install-hailo-ugen300-driver.sh" \
  -o scripts/install-hailo-ugen300-driver.sh
chmod +x scripts/install-hailo-ugen300-driver.sh
./scripts/install-hailo-ugen300-driver.sh ~/Downloads/UGen300_M2_5.3.0_driver_Linux_amd64.zip
sudo reboot

Transcription chunking can be enabled in settings. The chunk length accepts 1 to 120 minutes and defaults to 20 minutes when enabled.

Render Options

Render controls are selected per clip in the review flow.

Option Use
Aspect mode Choose the output framing for the rendered clip, including short-form vertical output.
Burn subtitles Render transcript captions into the video.
Intro/outro bumper Add configured bumper media before or after rendered clips when available.

Environment Options

Copy .env.example to .env and change values for your environment. Docker Compose supplies internal service URLs for containers, so most local installs only need BETTER_AUTH_SECRET, BETTER_AUTH_BASE_URL, and provider credentials configured in the app.

Core

Variable Default Description
DATABASE_URL postgresql://postgres:postgres@localhost:5433/clipse PostgreSQL connection string for local tooling. Compose overrides this inside containers.
BETTER_AUTH_SECRET local development secret Cookie/session signing secret. Replace for any shared or public deployment.
BETTER_AUTH_BASE_URL http://localhost:3000 Browser-facing app URL.
BETTER_AUTH_TRUSTED_ORIGINS empty Additional browser origins allowed to call Better Auth endpoints, separated by commas. BETTER_AUTH_BASE_URL is trusted automatically.
CLIPSE_DISABLE_AUTH false Set to true to bypass sign-in and allow local anonymous access. Use only in trusted local deployments.

Limits

Variable Default Description
CLIPSE_MAX_CLIPS_PER_VIDEO 8 Maximum regular clip suggestions per analysis. Valid range: 1 to 20.
CLIPSE_MAX_SHORTS_PER_VIDEO 16 Maximum short-form candidates per analysis. Valid range: 1 to 40.

Storage

Variable Default Description
CLIPSE_S3_ENDPOINT http://localhost:3900 Internal S3-compatible endpoint. Compose sets this to Garage inside containers.
CLIPSE_S3_PUBLIC_ENDPOINT http://localhost:3900 Browser-reachable S3-compatible endpoint for signed media URLs.
CLIPSE_S3_REGION garage S3 region value.
CLIPSE_S3_BUCKET clipse Bucket for uploads, thumbnails, transcripts, and renders.
CLIPSE_S3_ACCESS_KEY_ID local Garage key S3 access key.
CLIPSE_S3_SECRET_ACCESS_KEY local Garage secret S3 secret key.
CLIPSE_S3_FORCE_PATH_STYLE true Use path-style S3 URLs. Keep true for Garage and MinIO.

Whisper

Variable Default Description
WHISPER_SERVICE_URL http://localhost:8000 AI service transcription API URL for local tooling. Compose sets this to http://ai:8000 inside containers.
WHISPER_PROVIDER faster-whisper AI service default transcription provider. Use hailo with the Hailo override.
WHISPER_DEVICE cuda faster-whisper device. Use cpu only with a compatible compute type and enough patience.
WHISPER_COMPUTE_TYPE float16 faster-whisper compute type.
WHISPER_CPU_FALLBACK false AI container CPU fallback toggle for faster-whisper.
NVIDIA_VISIBLE_DEVICES all GPU devices exposed to CUDA containers.
NVIDIA_DRIVER_CAPABILITIES compute,utility,video NVIDIA container capabilities.
WHISPER_CACHE_DIR ./models/whisper in dev compose Host cache path for downloaded Whisper models in development. Production Docker stores model files under ./models/whisper.

Hailo-10H

Variable Default Description
CLIPSE_AI_HAILO_IMAGE ghcr.io/fixtse/clipse-ai-hailo:latest Hailo AI image. Override this for a private/local Hailo image.
HAILO_DEVICE /dev/h1x-0 Hailo accelerator device passed into the container.
HAILO_WHISPER_MODEL whisper-base Hailo transcription model.
HAILO_WHISPER_HEF_PATH empty Optional explicit Whisper HEF path. Usually not needed when the matching .hef is under ./models.
HAILO_WHISPER_TIMEOUT_MS 60000 Hailo Whisper generation timeout in milliseconds. Increase for long audio.
HAILO_VLM_MODEL qwen2-vl-2b Hailo VLM focus-detection model. Supported aliases include qwen2-vl-2b, qwen2.5-vl-3b, and qwen3-vl-2b-instruct.
HAILO_VLM_HEF_PATH empty Optional explicit VLM HEF path. Usually not needed when the matching .hef is under ./models.
HAILO_VLM_FOCUS_SAMPLE_INTERVAL_SECONDS 1.0 Frame sampling interval for Hailo VLM focus detection.
HAILO_VLM_FOCUS_MAX_SAMPLES 8 Maximum sampled frames per focus-detection request.
HAILO_VLM_OPTIMIZE_MEMORY_ON_DEVICE true Hailo VLM memory optimization toggle.
HAILO_VISION_MODEL yolov8n Hailo YOLO-family model for mode-aware shorts focus detection.
HAILO_VISION_HEF_PATH empty Optional explicit Hailo vision HEF path. Usually not needed when the matching .hef is under ./models.
HAILO_SCREEN_OCR_HEF_PATH empty Optional OCR/text-detection HEF path for screen-heavy shorts. Usually not needed when the matching .hef is under ./models.
HAILO_OBJECT_LABELS empty Optional comma-separated COCO class ids or names for general object focus mode. Examples: 67,73 or cell phone,book.
HAILO_VISION_SAMPLE_INTERVAL_SECONDS 0.35 Frame sampling interval for Hailo vision focus detection.
HAILO_VISION_MAX_SAMPLES 0 Maximum sampled frames per Hailo vision request. Use 0 to sample until the clip end.
HAILO_VISION_COMMAND runner command Override for the Hailo vision helper command.
HAILO_VISION_FRAME_COMMAND empty Optional per-frame command returning JSON detections when using a custom Hailo detector wrapper.
HAILO_FOCUS_DEBUG WHISPER_DEBUG value in Docker Enables Hailo focus command logs in the AI service.
CLIPSE_FOCUS_DEBUG WHISPER_DEBUG value in Docker Enables web/worker logs showing Hailo focus use and local detector fallback.
HAILO_COMMAND_TIMEOUT_SECONDS 900 Timeout for Hailo helper commands.
HAILO_APPS_REF main Hailo Apps git ref used when building the Hailo image.
HAILORT_WHEEL_DIR ./services/whisper/hailo-packages Local Hailo image build option: directory containing one hailort-*.whl or pyhailort-*.whl. If the directory also contains hailort_*.deb, it is installed into the local image for libhailort.
HAILO_HOST_LIB_DIR /usr/lib/hailo Host HailoRT library mount path.
HAILO_HOST_BIN_DIR /usr/bin Host binary mount path for hailortcli.

Focus Detection

Variable Default Description
CLIPSE_FOCUS_PROVIDER auto auto, local, hailo-vlm, or hailo-vision.
CLIPSE_HAILO_SERVICE_URL http://localhost:8000 Hailo focus API URL. Compose sets this to http://ai:8000 inside containers.
CLIPSE_YOLO_MODEL yolo11n.pt Local person/face focus model used by the worker.
CLIPSE_LOCAL_DETECTOR_DEVICE auto Local YOLO/RT-DETR device preference. Use intel:gpu for OpenVINO on Intel GPU, cuda for PyTorch CUDA, or cpu. The Intel compose override sets intel:gpu.

Focus provider modes:

Provider Use case
auto Default local detector flow with automatic local fallbacks.
local Force local YOLO/RT-DETR/OpenCV detection.
hailo-vision Recommended Hailo Docker mode for people, product, screen, and object focus detection.
hailo-vlm Legacy Hailo VLM prompt path for face/person focus detection.

Video URL Intake

Variable Default Description
CLIPSE_YTDLP_COOKIES_FILE empty Optional cookies file path for yt-dlp when a source requires browser cookies. Mount the file into the worker container.
CLIPSE_YTDLP_USER_AGENT empty Optional yt-dlp user agent override.

Codex Provider

Variable Default Description
HOST_CODEX_HOME ${HOME}/.codex Host Codex config directory mounted into containers.
CLIPSE_CODEX_COMMAND codex Command used by the app and worker.
CLIPSE_CODEX_HOME /root/.codex Container Codex config directory.
CLIPSE_CODEX_CWD /app Working directory for Codex CLI calls.
CLIPSE_CODEX_TIMEOUT_MS 300000 Codex request timeout in milliseconds.

Authenticate on the host before selecting the Codex provider:

codex login

For Windows PowerShell:

HOST_CODEX_HOME="C:/Users/<you>/.codex"

For WSL:

HOST_CODEX_HOME="/mnt/c/Users/<you>/.codex"

Image Overrides

Variable Default
CLIPSE_APP_IMAGE ghcr.io/fixtse/clipse-app:latest
CLIPSE_WORKER_IMAGE ghcr.io/fixtse/clipse-worker:latest
CLIPSE_MIGRATE_IMAGE ghcr.io/fixtse/clipse-migrate:latest
CLIPSE_AI_IMAGE ghcr.io/fixtse/clipse-ai:latest
CLIPSE_AI_HAILO_IMAGE ghcr.io/fixtse/clipse-ai-hailo:latest
CLIPSE_GARAGE_INIT_IMAGE ghcr.io/fixtse/clipse-garage-init:latest

The legacy CLIPSE_WHISPER_IMAGE and CLIPSE_WHISPER_HAILO_IMAGE variables are still accepted as fallbacks, but new deployments should use the CLIPSE_AI_* names.

Docker Options

Run with published images:

mkdir -p models/whisper models/yolo models/hailo
docker compose up -d

The default stack expects an NVIDIA GPU for CUDA Whisper and local focus detection. Verify the host runtime with:

docker run --rm --gpus all nvidia/cuda:12.6.0-base-ubuntu24.04 nvidia-smi

Run without an NVIDIA GPU:

mkdir -p models/whisper models/yolo models/hailo
docker compose -f docker-compose.yml -f docker-compose.cpu.yml up -d

Run with Intel GPU ffmpeg acceleration and CPU Whisper:

sudo apt install -y vainfo intel-media-va-driver libva-drm2 libva2
ls -l /dev/dri/renderD128
mkdir -p models/whisper models/yolo models/hailo
docker compose -f docker-compose.yml -f docker-compose.intel.yml up -d

This Intel example targets Ubuntu 26.06. The host needs VAAPI/QSV userspace packages (vainfo, intel-media-va-driver, libva-drm2, and libva2) installed so the Intel media driver (iHD) is available. The compose override passes /dev/dri/renderD128 into the app and worker containers for Intel QSV encoding and requests OpenVINO Intel GPU inference for local YOLO/RT-DETR focus detection. The host must expose that render device, and the Docker user must be able to access it. If your host uses different device group IDs, set CLIPSE_RENDER_GID="$(getent group render | cut -d: -f3)" and CLIPSE_VIDEO_GID="$(getent group video | cut -d: -f3)" before starting Compose.

Check Intel driver access inside the worker with:

docker compose -f docker-compose.yml -f docker-compose.intel.yml exec worker sh -lc \
  'vainfo --display drm --device /dev/dri/renderD128 && ffmpeg -hide_banner -v error -init_hw_device qsv=hw:/dev/dri/renderD128 -f lavfi -i nullsrc=s=16x16:d=0.1 -frames:v 1 -f null -'

Run with Intel GPU ffmpeg acceleration and Hailo-10H Whisper/focus:

sudo apt install -y vainfo intel-media-va-driver libva-drm2 libva2
ls -l /dev/dri/renderD128
WHISPER_PROVIDER=hailo \
CLIPSE_FOCUS_PROVIDER=hailo-vision \
HAILO_DEVICE=/dev/h1x-0 \
docker compose -f docker-compose.yml -f docker-compose.intel.yml -f docker-compose.hailo.yml up -d

Use this setup on Intel hosts where /dev/dri/renderD128 handles ffmpeg QSV rendering and local OpenVINO YOLO/RT-DETR fallback, while /dev/h1x-0 handles Hailo transcription or focus detection. Keep docker-compose.hailo.yml last so its Whisper provider settings override the CPU Whisper defaults from the Intel file.

Build app images locally:

docker compose -f docker-compose.yml -f docker-compose.build.yml up --build

Model files live under ./models, which is mounted into the AI and worker containers as /models:

mkdir -p models/whisper models/yolo models/hailo
# faster-whisper downloads/cache: ./models/whisper
# local YOLO/RT-DETR files: ./models/yolo/yolo11n.pt or ./models/yolo/rtdetr-l.pt
# Hailo HEFs: ./models/hailo/whisper-base.hef, ./models/hailo/yolov8n.hef, etc.

The default Hailo compose override pulls ghcr.io/fixtse/clipse-ai-hailo:latest, which targets HailoRT 5.3. The host PCIe driver must be the same HailoRT version as the runtime in the image. If you need a newer HailoRT release, build a local Hailo image with matching hailort_*.deb and hailort-*.whl packages, then install the matching PCIe driver on the host. Put HEFs models under ./models/hailo.

For a custom HailoRT version, build the Hailo image locally with a wheel directory outside the repo:

# Install the host PCIe driver package that matches the HailoRT version in your image.
curl -fsSL "https://raw.githubusercontent.com/fixtse/ClipSE/main/scripts/install-hailo-ugen300-driver.sh" \
  -o scripts/install-hailo-ugen300-driver.sh
chmod +x scripts/install-hailo-ugen300-driver.sh
./scripts/install-hailo-ugen300-driver.sh ~/Downloads/UGen300_M2_5.3.0_driver_Linux_amd64.zip
sudo reboot
ls -l /dev/h1x-*
hailortcli scan
mkdir -p models/hailo
# Put licensed .hef files in ./models/hailo.
CLIPSE_AI_HAILO_IMAGE=clipse-ai-hailo:local \
HAILORT_WHEEL_DIR="$HOME/Downloads/hailort" \
docker compose -f docker-compose.yml -f docker-compose.hailo.yml -f docker-compose.hailo-build.yml build ai

When running that local image, keep CLIPSE_AI_HAILO_IMAGE=clipse-ai-hailo:local in the environment for the up command.

Run Hailo-10H without an NVIDIA GPU:

curl -fsSL "https://raw.githubusercontent.com/fixtse/ClipSE/main/scripts/install-hailo-ugen300-driver.sh" \
  -o scripts/install-hailo-ugen300-driver.sh
chmod +x scripts/install-hailo-ugen300-driver.sh
./scripts/install-hailo-ugen300-driver.sh ~/Downloads/UGen300_M2_5.3.0_driver_Linux_amd64.zip
sudo reboot
ls -l /dev/h1x-*
hailortcli scan

WHISPER_PROVIDER=hailo \
CLIPSE_FOCUS_PROVIDER=hailo-vision \
docker compose -f docker-compose.yml -f docker-compose.cpu.yml -f docker-compose.hailo.yml up -d
curl http://localhost:8000/health

Run Hailo-10H with Intel GPU ffmpeg acceleration:

curl -fsSL "https://raw.githubusercontent.com/fixtse/ClipSE/main/scripts/install-hailo-ugen300-driver.sh" \
  -o scripts/install-hailo-ugen300-driver.sh
chmod +x scripts/install-hailo-ugen300-driver.sh
./scripts/install-hailo-ugen300-driver.sh ~/Downloads/UGen300_M2_5.3.0_driver_Linux_amd64.zip
sudo reboot
ls -l /dev/h1x-*
hailortcli scan

WHISPER_PROVIDER=hailo \
CLIPSE_FOCUS_PROVIDER=hailo-vision \
HAILO_DEVICE=/dev/h1x-0 \
docker compose -f docker-compose.yml -f docker-compose.intel.yml -f docker-compose.hailo.yml up -d
curl http://localhost:8000/health

Run Hailo-10H on a host that also has an NVIDIA GPU:

curl -fsSL "https://raw.githubusercontent.com/fixtse/ClipSE/main/scripts/install-hailo-ugen300-driver.sh" \
  -o scripts/install-hailo-ugen300-driver.sh
chmod +x scripts/install-hailo-ugen300-driver.sh
./scripts/install-hailo-ugen300-driver.sh ~/Downloads/UGen300_M2_5.3.0_driver_Linux_amd64.zip
sudo reboot
ls -l /dev/h1x-*
hailortcli scan

WHISPER_PROVIDER=hailo \
CLIPSE_FOCUS_PROVIDER=hailo-vision \
docker compose -f docker-compose.yml -f docker-compose.hailo.yml up -d

Hailo HEFs are auto-discovered under ./models by filename, so HAILO_WHISPER_MODEL=whisper-base can use a file such as ./models/hailo/whisper-base.hef without setting HAILO_WHISPER_HEF_PATH. See DOCKER.md for advanced Hailo licensing, private image builds, WSL notes, and custom HEF path overrides.

Check logs:

docker compose ps
docker compose logs -f app
docker compose logs -f worker
docker compose logs -f ai

See DOCKER.md for startup checks, troubleshooting, Hailo licensing notes, Garage reset steps, and private Hailo image builds.

Development

Use pnpm for local commands:

pnpm install
cp .env.example .env
docker compose -f docker-compose.dev.yml up --build

Useful commands:

pnpm check
pnpm typecheck
pnpm test:unit
pnpm db:generate
pnpm db:migrate

Generate migrations after changing the Drizzle schema:

pnpm db:generate

Architecture

  • apps/web/src/app - Next.js App Router pages and route handlers.
  • apps/web/src/components/clipse - workspace UI.
  • apps/web/src/modules/content-videos - upload drafts, dashboard, and video state.
  • apps/web/src/modules/content-transcriptions - transcript persistence.
  • apps/web/src/modules/content-clips - clip suggestions and render state.
  • apps/web/src/modules/content-jobs - background job queue state.
  • apps/web/src/modules/content-settings - AI and transcription settings.
  • apps/web/src/server/actions - mutation-oriented server actions.
  • apps/web/src/server/api/routers - query-oriented tRPC endpoints.
  • apps/worker/src/clipse-worker.ts - transcription, analysis, and render worker.
  • services/whisper - AI API container source for faster-whisper transcription and Hailo helpers.
  • services/postgres/migrations - Drizzle migrations.
  • services/garage - Garage object storage config and init image.

Tech Stack

  • Next.js App Router, React, and TypeScript.
  • Better Auth local email/password authentication.
  • tRPC and TanStack Query.
  • Drizzle ORM and PostgreSQL.
  • S3-compatible object storage.
  • FFmpeg (nvapi, intel-qsv, cpu) and yt-dlp.
  • Whisper, YOLO, OpenCV (CUDA, Hailo-10H, and CPU).
  • OpenAI-compatible AI SDK providers, Gemini, OpenRouter, and Codex CLI.
  • Tailwind CSS, shadcn/ui, and Framer Motion.

Contributing

Read CONTRIBUTING.md before opening a pull request. Keep changes focused, update tests for behavior changes, and run the local checks before submitting.

Security issues should be reported privately. See SECURITY.md.

License

ClipSE is licensed under AGPL-3.0-only.

About

Self-hosted AI clip production for long-form video.

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ai cuda whisper hailo-10h hailo10h

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