Scans image batches and generates SEO-optimised titles, descriptions, and keyword sets ready for Adobe Stock Contributor submission. Follows Adobe's submission rules.
The Adobe Stock Uploader is an internal Python tool that takes a folder of images (typically 50-200 Midjourney generations at a time) and produces Adobe Stock Contributor-ready metadata for every file: SEO-optimised title, 200-character description, 25-49 keywords, and category assignments. Built to support a 14,000+ image Adobe Stock portfolio without the soul-crushing manual captioning work.
Running an Adobe Stock Contributor portfolio at scale (14,000+ images and 1,000+ videos) means submitting a lot of metadata. Every upload needs a title, a 200-character description, 25-49 keywords, and one or two category assignments. Do it wrong and Adobe rejects the submission. Do it too fast and the quality drops and the images never get discovered.
The manual version of this workflow was brutal. Open an image, look at it, write a title that includes the subject and the style, write a description with the right keywords for discovery, brainstorm 25-49 keywords without repeating or straying off-topic, pick categories, repeat. At 30 seconds per image, 100 images a batch, that is nearly an hour of staring at your own work and trying to describe it from scratch.
The real bottleneck was not the keywords. It was mental fatigue. After 20 images the descriptions started blending together, the titles started using the same phrases, and the keyword sets got lazy. Adobe\'s discoverability algorithms notice.
The system uses a two-model pipeline: a vision model looks at each image and extracts a detailed visual description (subjects, style, colour palette, mood, composition), then Claude takes that visual description and produces the Adobe-specific metadata using a prompt that encodes Adobe\'s submission rules and best practices.
The Claude prompt includes the Adobe submission guidelines explicitly: title length, description character count, keyword count range, trademark rules, prohibited content rules, style vocabulary preferred by Adobe\'s search algorithm. Every output is pre-validated against these rules before it gets written to the CSV.
The final output is a CSV file in Adobe\'s exact import format. Drop it into Adobe Stock Contributor\'s batch upload tool and every image is ready to submit in under a second per file.
Watch the full pipeline in action: scanning a folder of Midjourney images, generating SEO titles and keywords with Claude vision, validating against Adobe rules, exporting a ready-to-upload CSV, and importing into Adobe Stock Contributor.
Guided walkthrough with sample data. The live system processes real image folders.
The interesting lesson here is about validation. The Claude output would be 95% correct without any rule validation, and Adobe would reject about 5% of the submissions for small rule violations (title too long, keyword too generic, etc.). Adding a validation layer that corrects those before they reach Adobe pushed the approval rate to 99%+. The validation is where the real production discipline lives.
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