Image Classification & Auto-Tagging Tool Development
An Image Classification & Auto-Tagging Tool costs $1,200 – $2,500 at PINCLER and takes 12–20 days to build. Automatically classify, tag and moderate thousands of product, property or medical images.
The price moves inside the $1,200 – $2,500 band based on how many of the features you need, the number of integrations, the number of user roles and whether existing data has to be migrated. That band is possible because AI coding tools write the first draft while senior engineers review every line, add automated tests and harden security. It covers this one workflow with standard integrations and never exceeds $2,500.
- Fixed price
- $1,200 – $2,500
- Delivery
- 12–20 days
- Built with
- Gemini · GPT · Claude · Claude Code · DeepSeek
An image classification and auto-tagging tool that labels, sorts and moderates photos with vision models. Custom computer vision development from $1,200 to $2,500 in 12 to 20 days.
The problem
E-commerce catalogues, property portals, marketplaces and media teams receive thousands of images a week that someone has to categorise, tag, check for quality and reject when they break the rules. Interns do it inconsistently, listings go live with the wrong category or a blurry hero image, and search and filters suffer. Building a vision model from scratch used to need a data science team and months of labelling.
What we build
We build a tagging pipeline that sends each image to Gemini or GPT vision models with your taxonomy and rules, returning categories, attributes such as colour, room type or material, quality scores, text found in the image and moderation flags, with embeddings stored in pgvector for similarity search and duplicate detection. A review screen lets staff correct low-confidence results and the corrections improve prompts. Claude Code scaffolds the queue, storage and API, DeepSeek keeps bulk re-tagging cheap, and we calibrate on a labelled sample of your images before go-live. Full source code and a fixed price that never exceeds $2,500.
Features included
- Custom taxonomy and attribute extraction
- Quality and blur scoring
- Moderation for unsafe or off-policy images
- Duplicate and near-duplicate detection
- Similarity search with pgvector
- Text in image detection
- Review screen for low-confidence results
- Bulk processing of existing libraries
- API and webhook for your upload flow
What you receive
- Full source code in your GitHub repository
- Pipeline deployed on your cloud account
- Taxonomy and prompt configuration
- Accuracy report on your labelled sample
- 30-day bug-fix warranty
How we build it
- Day 0: free 30-minute call to define your taxonomy, rules and volumes, followed by a written fixed quote
- Days 1–6: the pipeline, storage and API around Gemini or GPT vision models are scaffolded
- Days 7–12: tagging is calibrated on a labelled sample of your images and quality and moderation rules are set
- Days 13–17: the review screen, similarity search and duplicate detection go live to your team
- Days 18–20: bulk processing of your existing library, webhook wiring into your upload flow and the 30-day warranty begins
What each budget gets you
| Budget | Build | What changes |
|---|---|---|
| $1,200 | Tagging core | Custom taxonomy with category and attribute extraction, quality and blur scoring, an API for your upload flow and bulk processing |
| $1,800 | Moderation edition | Adds moderation flags for unsafe or off-policy images, text-in-image detection and the review screen for low-confidence results |
| $2,500 | Search edition | Adds duplicate and near-duplicate detection, similarity search with pgvector embeddings, webhooks and an accuracy report on your labelled sample |
Ideal for
- E-commerce marketplaces
- Real estate portals
- Stock photo and media libraries
- Classified ad platforms
- Fashion and furniture brands
- Healthcare imaging triage
FAQ
Image Classification & Auto-Tagging Tool: common questions
How much does an image tagging tool cost?
Between $1,200 and $2,500 depending on taxonomy size, volume and integrations, delivered in 12 to 20 days. The fixed quote never exceeds $2,500.
How accurate is the tagging?
On well-defined taxonomies vision models reach 90 to 97 percent agreement with human labels; uncertain cases go to the review screen. We report accuracy on your own sample before launch.
Where are our images processed and stored?
Images stay in your own S3 or cloud storage and are sent to the vision model through API keys in your account with no retention. Results and embeddings live in your database.
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