Tanod imagepeek BlurHash Generator is a paid API for AI agents from tanod.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-11).
Generates a BlurHash placeholder string from an image URL or base64-encoded image, with configurable component grid dimensions.
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Returns a BlurHash encoded string representing a compact, blurred placeholder of the input image, computed using the specified x and y component counts (1–9 each). The hash can be decoded client-side to render a smooth low-resolution preview before the full image is available.
POSThttps://tanod.dev/v1/image/blurhash?utm_source=zero.xyzUse this endpoint when you need a BlurHash placeholder string for progressive image loading in web or mobile apps. It accepts either a public image URL or a raw base64 image, supports configurable component dimensions for fidelity control, and handles auto-orientation. Prefer this over manual BlurHash libraries when you want a serverless, pay-per-call solution without managing image processing dependencies.
| Field | Type | Description |
|---|---|---|
| url | — | Public http(s) URL of the image (at most 10 MB; private, internal and IP-literal hosts are refused); or use image_base64. |
| auto_orient | boolean | Apply the EXIF orientation first (default true). |
| image_base64 | — | The image as standard or url-safe base64 (at most 10 MB decoded; a data:image/...;base64, prefix is fine); or use url. |
| x_components | integer | Horizontal components (1-9, default 4): more detail, a longer hash. |
| y_components | integer | Vertical components (1-9, default 3). |
{
"type": "json",
"example": {
"input": {
"bytes": 161713,
"width": 640,
"format": "jpeg",
"frames": 1,
"height": 480,
"animated": false,
"has_alpha": false
},
"notes": [],
"source": {
"url": "https://python-pillow.org",
"library": "Pillow",
"license": "MIT-CMU (HPND)"
},
"blurhash": "LRIN+zx[Rms:~nxajIxatRxajHxt",
"final_url": "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg",
"operation": "blurhash",
"source_url": "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg",
"x_components": 4,
"y_components": 3
}
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