Vectorizer AI

Vectorizer AI's Minneapolis-based platform revolutionizes bitmap-to-vector conversion through a sophisticated combination of deep learning and traditional techniques. This comprehensive guide explores the company's proprietary technology, multilingual capabilities, and API features that enable precise vectorization of both 2-color and full-color images, including support for transparency and partial transparency.

Company Overview

Vectorizer.AI's Minneapolis-based operations encompass a diverse suite of digital products, including web-based tools, desktop software, and application programming interfaces (APIs). As a subsidiary of Cedar Lake Ventures, Inc., the company specializes in bitmap-to-vector conversion, offering a proprietary engine that combines deep learning with traditional techniques.

The Vectorizer.AI platform supports multiple language options through its API, including English, German, Spanish, French, Hindi, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Thai, Turkish, and Vietnamese. This multilingual capability allows users across various regions to access the company's services.

Conversion Capabilities

Vectorizer.AI's proprietary engine combines deep learning with traditional techniques to support both 2-color and full-color vectorization, including transparency and partial transparency. The company's technology employs sophisticated curve optimization to closely match the underlying image while identifying and representing standard shapes like circles, ellipses, rectangles, stars, and triangles.

The Vectorizer.AI platform detects shapes within images, fits curves to these shapes, and exports the result as true vector files without containing pixel information. This process maintains image quality even when scaling larger, producing scalable vector graphics (SVG) that represent the most flexible and widely supported format for vector graphics today. The tool maintains inter-shape consistency through its Vector Graph feature while optimizing result quality.

The company's vectorization engine supports a wide variety of input and output options, including JPEG, PNG, WEBP, BMP, and GIF formats for input and SVG, PDF, EPS, DXF, and PNG for output. While most competitors only support 2-color vectorization, Vectorizer.AI handles full 32-bit color with alpha channel support, including partial transparency and anti-aliasing.

During the conversion process, the engine focuses on both reconstructive and inspirational vectorization approaches. Reconstructive vectorization aims to create the closest possible vector representation of the original bitmap image, while inspirational vectorization captures the artistic essence of raster images. The tool distinguishes itself through advanced features like whole geometric shape fitting, corner cleaning, tangent matching, curve fairing, and improved handling of ambiguous pixel data.

API and Technical Details

The Vectorizer.AI API offers extensive customization options for curve types, color processing, and file formats. Users can select SVG version control, DXF compatibility options, vector drawing styles, shape stacking, group-by functionality, parameterized shapes, and specific curve types. The platform also provides options for line fit quality, gap filler settings, and stroke styles.

The API supports 24 different languages through locale selection, allowing users across multiple regions to access the company's services. For developers, the platform provides several advanced features including image token functionality for additional format downloads and bandwidth savings, as well as receipt headers for tracking production results.

Image processing requires authentication via Basic Auth or API Key, with specific headers and parameters for image uploads. The API accepts input as binary files, base64-encoded strings (up to 1MB), or URLs, and processes files up to 3 megapixels in size and 30 megabytes in file size.

The company maintains image data for 24 hours before deletion, with an option to retain data for up to 30 days for premium users. During this period, users can download production results at a discounted rate using an X-Image-Token header, or download additional formats at reduced rates through X-Receipt headers. After 24 hours, data is permanently deleted unless explicitly retained by the user.

Output Formats and Customization

Users can opt for several vector formats including SVG, PDF, EPS, DXF, and PNG. SVG emerges as the most versatile and widely supported format, offering comprehensive export options for managing shape drawing, grouping, and format-specific parameters. The platform's Vector Graph technology maintains consistency between adjacent shapes while optimizing result quality.

The output process begins with detecting shapes within the image, followed by curve fitting, and concludes with true vector file export - all while ensuring the final result contains no bitmap data and maintains quality across varying scales. Supported input formats include JPEG, PNG, WEBP, BMP, and GIF, with plans to expand format support in future updates.

Support and Usage Policies

Users must obtain explicit permission to use the service for machine learning applications, including deep learning models. The company strictly prohibits using output for machine learning training without explicit authorization.

Data retention follows a 24-hour policy, after which images are permanently deleted unless explicitly retained by the user for up to 30 days through premium subscription options. Users retain ownership of their vectorized results and may use them in any manner not explicitly prohibited by the service's terms of use. Vectorizer AI does not claim rights to the vectorized outputs nor share images with third parties without explicit user authorization.

The service employs a credit-based usage model, with subscription options allowing users to download as much as needed without commitment. Credit pricing varies based on plan size, ranging from 50 credits for $9.99/month at $0.200 per credit to up to 100,000 credits at $0.095 per credit. Academic and non-profit users do not receive special pricing benefits.

Authentication requires HTTP basic access authentication with the API Id as username and API Secret as password. The API supports HTTPS connections and requires Server Name Indication (SNI) support to function properly. Rate limiting employs a generous allowance structure, handling normal usage gracefully. Developers are advised to start with five threads, adding one every five minutes, while the maximum concurrent thread limit is set at 100. Exceeding these limits results in a 429 Too Many Requests status, with a back-off strategy doubling response times for each subsequent request.

The service provides comprehensive error handling through conventional HTTP status codes and detailed JSON responses. Recent errors are listed on the account page, and all error responses include an Error JSON object containing status, code, and message information. Users can receive notification of low credit levels through automatic renewal options, with subscription management available directly on the account page. Payment options include major credit cards and PayPal, though invoices or purchase orders are not issued. Subscriptions can be canceled at any time through the account page interface.