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Image Processing

ai.pictomancer/image-processing
Image processing for AI agents. Resize, convert, compress, and pipeline images.
healthy
status
8
tools exposed
542ms
connect latency
22a12bce291c
schema fingerprint

Tools (8)

get_format_info
Get supported formats and options Returns supported output formats and their configurable options. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json
analyze_image
Analyze an image Fetch an image from a URL or base64 and return its metadata: size in bytes, pixel dimensions, source format, and what it costs every supported vision model in tokens. Always free. Dimensions are omitted if the image header cannot be read. ### Responses: **200**: Successful Respon
resize_image
Resize an image Scale an image by a factor. Use 'scale' for uniform scaling, or 'scale_x'/'scale_y' for independent axes. Values are float factors (e.g. 0.5 = half size). ### Responses: **200**: Processed image binary (Success Response) Content-Type: application/json Content-Type: image/jpeg **E
compress_image
Compress an image Re-encode an image with quality/format options to reduce file size. Supports jpeg, png, webp, tiff, gif. If the output is not smaller than the input, the request is free (X-Pig-Billed: 0) and does not consume free-tier quota. ### Responses: **200**: Processed image binary (Succe
convert_image
Convert image format Convert an image to a different format (jpeg, png, webp, tiff, gif, avif). Optionally set quality, strip metadata, enable lossless mode (webp, avif), or tune encoder effort (avif). ### Responses: **200**: Processed image binary (Success Response) Content-Type: application/jso
crop_image
Crop an image Extract a rectangular region from an image. Specify the top-left corner (x, y) and the dimensions (width, height) in pixels. ### Responses: **200**: Processed image binary (Success Response) Content-Type: application/json Content-Type: image/jpeg **Example Response:** ```json "stri
optimize_for_vision
Resize an image for a vision model Resize an image to the largest size a given vision model still benefits from, and report what it costs that model in tokens before and after. Every provider downscales oversized input before counting tokens, so this alone saves bytes and upload latency rather than
image_pipeline
Run a multi-step image pipeline Chain multiple operations (resize, compress, convert, crop) in sequence. The image is fetched once, then each operation is applied to the output of the previous one. Max 10 operations per pipeline. ### Responses: **200**: Processed image binary (Success Response) C

Endpoint

https://api.pictomancer.ai/mcp
Category: Web & Scraping · Last checked: 2026-07-30T12:47:06Z

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