> For the complete documentation index, see [llms.txt](https://know.rendernetwork.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://know.rendernetwork.com/docs/help/glossary.md). # Glossary A quick reference for terms used in the Render Network web app and these guides. | Term | Meaning | | --------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ | | [Access token](/docs/web-app/access-keys.md) | A key that lets an app or tool use your account with the permissions you choose. It can also be used to sign in to the web app. | | Asset | A file your scene uses, such as a texture, linked model, or simulation cache. | | [Auto approve](/docs/web-app/review-and-approve-frames.md) | A job setting that approves rendered frames without waiting for your review. | | [Auto download](/docs/web-app/download-frames.md) | A job setting that sends rendered outputs to a chosen download destination automatically. | | [Cloud storage](/docs/web-app/cloud-storage.md) | A connected online storage service, such as Amazon S3, Dropbox, or Google Drive, used to deliver outputs. | | DCC | Digital content creation application: the software you use to build a scene, such as Cinema 4D or Blender. | | [Download Manager](/docs/tools-and-api/manager-app.md) | The web app's name for using the Render Network Manager desktop app to download outputs. | | Frame | One image in a render job, identified by its frame number. A still render can be a job with one frame. | | [Frame approval](/docs/web-app/review-and-approve-frames.md) | Accepting a rendered frame so its output files can be downloaded. | | [Job](/docs/web-app/create-a-job.md) | A render submitted from a scene with a chosen target, frame range, and render settings. The same scene can be used for several jobs. | | [OctaneBench score](/docs/web-app/cost-calculator.md) | A measure of your computer's Octane rendering performance, used when estimating render costs. Also shown as **OB Score**. | | [Output](/docs/web-app/outputs.md) | A rendered file to download, such as a PNG or EXR. An output configuration chooses its format and related settings. | | [Pass / AOV](/docs/prepare-your-scene/aovs.md) | A separate part of the rendered image, such as diffuse lighting or reflections, for use in compositing. | | [Preview](/docs/web-app/review-and-approve-frames.md) | An image used to review a frame in the app. Full-size previews are watermarked; final outputs are downloaded separately. | | [Project](/docs/web-app/projects.md) | A named group for related scenes and their jobs. | | [Render Credits](/docs/web-app/render-credits.md) | The balance used to pay for rendering on the Render Network. | | Render engine | The renderer that produces the images, such as Octane, Redshift, or Cycles. | | Render node | A computer on the Render Network that renders part of a job. | | [Render target](/docs/get-started/concepts.md#targets-and-jobs) | The camera, geometry, lighting, and render settings used for a render. The equivalent is a take in Cinema 4D or a scene in Blender. | | [Render tier](/docs/web-app/render-tiers.md) | The service option selected for a job, affecting its price and available render nodes. | | [Scene](/docs/web-app/upload-scenes.md) | The uploaded scene package from which you create render jobs. | | [Scene version](/docs/web-app/scenes-and-versions.md) | An uploaded revision of a scene. The latest version is marked **CURRENT**; **Upload Snapshot** adds another version. | | [Video preview](/docs/web-app/video-preview.md) | An MP4 made from rendered frame previews, for reviewing the sequence as a video. | | [VRAM](/docs/web-app/render-tiers.md) | Graphics-card memory. **Minimum Node VRAM** sets the memory requirement for the nodes assigned to your job. | --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. 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