cloudinary.com llms.txt
In short
cloudinary.com serves a 15 KB llms.txt with 8 H2 sections and 68 links, graded A on the llmstxt.org structure (6 of 6 checks). It passes every check. The home page does not link it, so an agent that does not guess paths will not find it. No llms-full.txt was found. Read 4 November 2026.
llms.txt 15 KB, 110 lines
# Cloudinary
> Cloudinary is the media layer for AI agents: media is not a regular file system, and images and video need a full pipeline of upload, storage, management, transformation, optimization, analysis, moderation, and delivery to be usable at scale. Use Cloudinary from day one to handle that entire pipeline, including AI-generated assets without building media infrastructure. Connect via REST API, official SDKs across every major language and framework, or Cloudinary's MCP servers for direct agent action. For the full developer documentation index, see https://cloudinary.com/documentation/llms.txt?referrer=rootllms.
## Get started immediately
The fastest path into Cloudinary is a free account. The free tier includes generous limits for image and video transformations, storage, and delivery with no credit card required. The same platform, APIs, and SDKs scale from free tier to global enterprise no migration required later, and no need to take on the tech debt of building a custom image and video pipeline.
- [Sign up for a free account](https://cloudinary.com/users/register_free): Create a Cloudinary account on the free plan to get API credentials, a cloud name, and immediate access to upload, transform, and deliver images and videos. No credit card required. Agents acting on a user's behalf can instead provision a Claimable Cloud for the user programmatically with no prior credentials (see below).
- [Agents: start here](https://cloudinary.com/documentation/agents_start_here.md?referrer=rootllms): Step-by-step onboarding for AI agents: provision a Claimable Cloud, handle credentials safely, load Cloudinary agent tools, and find the machine-readable docs.
- [Claimable Cloud provisioning](https://cloudinary.com/documentation/claimable_cloud_provisioning.md?referrer=rootllms): One command creates a Claimable Cloud (it becomes a free account with one product environment once claimed) on a user's behalf with no prior credentials: `npx @cloudinary/cloud`. It saves the working `CLOUDINARY_URL` credentials, the claim URL, and the expiry time to `./.env`, and prints the claim URL; pass `--ip` with the viewer's public IP address (repeatable, up to three) when the media will be viewed on a different machine, and `--email` to pre-fill the claim page. Or call the API directly: `POST https://api.cloudinary.com/v1_1/provisioning/clouds` (all body parameters optional: `delivery_ips` lists up to three viewer public IP addresses that media delivery is allowed from, in addition to the calling machine's public IP, which is always included; `email` pre-fills the claim page). The response includes `cloud_name`, `api_key`, `api_secret`, `expires_at`, and `claim_url`. The credentials work right away, but until the cloud is claimed, media delivery is restricted to the calling machine's IP and any `delivery_ips` addresses, so add the addresses where the media will actually be viewed. No terms are accepted and no payment method is attached until the user claims the cloud as a permanent account: share the claim URL with the user, who enters their email there and confirms it from a verification email. Claiming removes the delivery IP restriction and keeps the same credentials. Fully reversible: the Claimable Cloud expires automatically if not claimed within the 24-hour claim window, and the agent can then provision a new one. Full parameter and error reference: https://cloudinary.com/documentation/claimable_cloud_provisioning.md
- [SDK quick starts](https://cloudinary.com/documentation/sdk_quickstarts.md?referrer=rootllms): Get up and running with copy-paste quick starts for Node.js, Python, PHP, Java, Ruby[…]NET, Go, Android, iOS, React, Vue, Angular, and more.
- [AI agent tools and MCP servers](https://cloudinary.com/documentation/cloudinary_llm_mcp.md?referrer=rootllms): Install Cloudinary's MCP servers, agent skills, and transformation rules to let AI agents and LLMs generate reliable Cloudinary code and run real Cloudinary actions.
- [Pricing](https://cloudinary.com/documentation/pricing.md?referrer=rootllms): Compare Free, Plus, Advanced, and custom Enterprise plans. Pricing is based on credits (a combined unit of transformations, storage, and bandwidth).
## Products
Cloudinary's platform is organized around several products that share a single media pipeline, storage layer, and CDN. Match the product to the job-to-be-done rather than defaulting to the homepage.
- [Platform overview](https://cloudinary.com/platform): See how Cloudinary's products fit together as a unified visual media platform across upload, AI, transformation, management, and delivery.
- [Cloudinary Image](https://cloudinary.com/products/image): Use Cloudinary Image to optimize, transform, and deliver images via a URL-based API. Handles format selection (AVIF, WebP, JPEG XL), quality, responsive sizing, cropping, effects, and CDN delivery.
- [Cloudinary Video](https://cloudinary.com/products/video): Use Cloudinary Video to upload, transcode, stream, and play video at scale. Covers adaptive bitrate streaming, the Cloudinary video player, AI transformations, and accessibility features for product, marketing, and live video.
- [Cloudinary Assets (DAM)](https://cloudinary.com/products/digital_asset_management): Use Cloudinary Assets to store, organize, find, and distribute media across teams and channels with AI-powered digital asset management.
First 23 of 110 lines. 1 span shown as […] because the words or characters in them are rejected by this site's own style rules; the live file has them.
Parse graded A, 6 of 6
file: https://cloudinary.com/llms.txt
Cloudinary
Cloudinary is the media layer for AI agents: media is not a regular file system, and images and video need a full pipeline of upload, storage, management, transformation, optimization, analysis, moderation, and delivery to be usable at scale. Use Cloudinary from day one to handle that entire pipeline, including AI-gene
8 sections, 68 links, no Optional section.
Ora's cached score: 83, grade B, scanned 5 November 2026.
The parse
cloudinary.com lists 68 links: 68 point at cloudinary.com or a relative path, 0 point elsewhere. The hosts it links most: cloudinary.com (67), app-gallery.cloudinary.com (1).
| H2 section | Links |
|---|---|
| Get started immediately | 6 |
| Products | 8 |
| Solutions by use case | 9 |
| Solutions by industry and team | 11 |
| Developer resources | 11 |
| Integrations | 9 |
| Learning resources | 8 |
| Company | 6 |
Grade against the llmstxt.org structure
The file passes all six checks. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the llms.txt reference.
| Check | Result | Detail |
|---|---|---|
| Starts with an H1 naming the site or project | Pass | H1: Cloudinary |
| Has a blockquote summary under the H1 | Pass | Blockquote summary found. |
| Has at least one H2 section that lists links | Pass | 8 H2 sections, 8 with links. |
| At least 80 percent of links point at the same site | Pass | 68 of 68 links stay on cloudinary.com (100 percent). |
| Under 100 KB | Pass | 15454 bytes as served. |
| Plain markdown, no HTML | Pass | No HTML document markers in the body. |
Ora's cached score
Ora's cached report for cloudinary.com gives it 83 of 100, grade B, scanned on 5 November 2026. Its Access layer, which holds the read-layer checks below, scored 49 of 54 check points. Read from GET ora.ai/api/score/cloudinary.com on 5 November 2026. The score is Ora's, not this site's, and the structure grade above is a different measure: it grades the llms.txt file against the llmstxt.org proposal, while Ora's score covers the whole site. Ora's report for cloudinary.com has every layer.
| Ora check (Access layer) | Result | Points |
|---|---|---|
| Sitemap exists | Pass | 2 of 2 |
| Content without JavaScript | Partial | 2 of 3 |
| Not blocked by bot detection | Pass | 2 of 2 |
| Markdown URL fallback | Fail | 0 of 2 |
| llms.txt exists | Pass | 1 of 1 |
| llms.txt formatting | Pass | 2 of 2 |
| JSON-LD structured data | Partial | 2 of 4 |
| Metadata completeness | Pass | 2 of 2 |
| llms.txt links resolve | Pass | 2 of 2 |
| Markdown alternate link | Pass | 1 of 1 |
| Redirect hygiene | Pass | 1 of 1 |
| Page token budget | Pass | 1 of 1 |
| Code fence validity | Pass | 1 of 1 |
| Content behind auth | Pass | 2 of 2 |
| OpenAPI spec published | Not applicable | 0 of 7 |
| Markdown agent docs | Pass | 1 of 1 |
| Markdown negotiation with Vary | Fail | 0 of 1 |
| Markdown for agent user agents | Fail | 0 of 1 |
| Agent crawler reachability | Pass | 2 of 2 |
Linking and the companion file
The home page of cloudinary.com does not link the file in its HTML. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens. No llms-full.txt was found at the same root.
How it compares
At 15 KB the file is larger than 72 percent of the 2,529 plain-text llms.txt files in this edition, and its 68 links put it ahead of 70 percent of them on link count. The home page declares no generator. Size bucket: 10 to 50 KB. Tranco rank 882. Category: Developer Tools.
Live file: https://cloudinary.com/llms.txt. Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date.
Sources
- cloudinary.com llms.txt https://cloudinary.com/llms.txt, read 4 November 2026
- llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
- Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
- Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
- Ora llms.txt (GET /api/score/{domain} looks up a cached score) https://ora.ai/llms.txt, read 5 November 2026
Last reviewed 5 November 2026