> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server. # Process Data ## Docs - [Clipping](https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/clipping.md): Split videos into clips using fixed stride or TransNetV2 scene-change detection - [Transcoding](https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/transcoding.md): Transcode clips with CPU or GPU encoders and tune for quality and performance - [Filtering](https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/filtering.md): Filter clips by motion or aesthetics to improve dataset quality - [Embeddings](https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/embeddings.md): Generate clip-level embeddings using Cosmos-Embed1 - [Deduplication](https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/dedup.md): Remove near-duplicate clips using semantic clustering and pairwise similarity - [Frame Extraction](https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/frame-extraction.md): Extract frames from clips or full videos for embeddings, filtering, and analysis - [Captions Preview](https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/captions-preview.md): Generate clip captions with Qwen-VL or Nemotron VLMs and optional preview images > **Note:** This page contains both a page directory (above) and the landing page content (below). The page directory is generated for agent use and does not appear on the landing page. > For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/nemo/curator/v26.04/curate-video/process-data/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server. > Process video data by splitting into clips, encoding, generating embeddings and captions, and removing duplicates # Process Data Use NeMo Curator stages to split videos into clips, encode them, generate embeddings or captions, and remove duplicates. ## How it Works Create a `Pipeline` and add stages for clip extraction, optional re-encoding and filtering, embeddings or captions, previews, and writing outputs. Each stage is modular and configurable to match your quality and performance needs. ## Processing Options Choose from the following stages to split, encode, filter, embed, caption, preview, and remove duplicates in your videos: #### [Clip Videos](/curate-video/process-data/clipping) Split long videos into shorter clips using fixed stride or scene-change detection. clips fixed-stride transnetv2 #### [Encode Clips](/curate-video/process-data/transcoding) Encode clips to H.264 using CPU or GPU encoders and tune performance. clips h264\_nvenc #### [Filter Clips and Frames](/curate-video/process-data/filtering) Apply motion-based filtering and aesthetic filtering to improve dataset quality. clips frames motion aesthetic #### [Extract Frames](/curate-video/process-data/frame-extraction) Extract frames from clips or full videos for embeddings, filtering, and analysis. frames frames fps #### [Create Embeddings](/curate-video/process-data/embeddings) Generate clip-level embeddings with Cosmos-Embed1 for search and duplicate removal. clips cosmos-embed1 #### [Create Captions & Preview](/curate-video/process-data/captions-preview) Produce clip captions and optional preview images for review workflows. clips frames captions preview #### [Remove Duplicate Embeddings](/curate-video/process-data/dedup) Remove near-duplicates using semantic clustering and similarity with generated embeddings. clips semantic pairwise ## Write Outputs Persist clips, embeddings, previews, and metadata at the end of the pipeline using `ClipWriterStage`. Refer to [Save & Export](/curate-video/save-export) for directory layout and examples. Example (place as the final stage): ```python from nemo_curator.stages.video.io.clip_writer import ClipWriterStage pipeline.add_stage( ClipWriterStage( output_path=OUT_DIR, input_path=VIDEO_DIR, upload_clips=True, dry_run=False, generate_embeddings=True, generate_previews=False, generate_captions=False, embedding_algorithm="cosmos-embed1-224p", caption_models=[], enhanced_caption_models=[], verbose=True, ) ) ``` Path helpers are available to resolve common locations (such as `clips/`, `filtered_clips/`, `previews/`, `metas/v0/`, and `ce1_embd_parquet/`).