Image Editor

This tool provides a programmable image editing workflow powered by AI to perform common edits in a reproducible, automated manner. It targets developers, data scientists, content creators, and ML practitioners who need consistent transformations, batch processing, and reliable format conversions for images used in catalogs, datasets, demos, or social media. When editors must produce multiple outputs or integrate edits into pipelines, users supply structured edit instructions and receive a final artifact with a change log. The tool supports basic edits (crop, resize, rotate, flip, color adjustments) and advanced capabilities (AI-based background removal, inpainting, style adjustments, watermarking) to cover quick tweaks and complex processing.
Core Logic & Features: Core capabilities include image ingestion from URL or file payloads, non-destructive edit specification, and deterministic output generation. Required features: image ingestion, crop, resize, rotate, and color adjustments, plus export format. Optional features: remove_background, inpainting, style transfer, watermark, and batch processing. Edits are applied in a pipeline with per-operation validation and a machine-readable log. Validation enforces crop bounds, positive dimensions, and valid ranges for adjustments. Output supports JPEG, PNG, and WEBP with configurable quality and optional alpha handling.
Inputs & Outputs: Inputs include image_source (URL or file), crop_box (x,y,w,h) in px, resize_to (width, height) in px or null, rotate_deg (degrees), flip_h, flip_v, brightness, contrast, saturation, hue_shift, output_format, quality; advanced flags: remove_background (bool), apply_style (string), watermark (config object). Outputs: output_image_url, final_dimensions (width × height), file_size_bytes, operation_log, and optional metadata.
Algorithms & Calculations: Cropping uses pixel coordinates; resizing computes scaling factors, preserving aspect ratio if only one dimension is specified; rotation uses standard angles; color adjustments apply linear transforms; background removal uses AI segmentation; inpainting fills masked areas; style transfer applies a controlled domain transform; format conversion uses standard codecs.
Error & Edge Cases: Invalid image_source; unsupported formats; crop area outside bounds; zero or negative dimensions; memory or time limits; missing inputs; external AI service failure; partial edits returned with a log warning.
Industry/Region & Localization: Uses 8-bit color channels (0–255) and common web formats; outputs follow sRGB; number formatting follows locale conventions for dimension and quality values.
Assumptions & Exclusions: Assumes input images are accessible with appropriate permissions; not vector or video editing; no interactive UI; edits are non-destructive and reproducible; batch support is optional.