PixLab has rolled out a new production-ready version of its image and document automation stack, bringing major improvements to background removal, text watermark removal, and AI-powered document parsing.

This update introduces newer models, faster processing, improved accuracy, and a more robust production runtime for developers building high-volume image and document workflows.

What Is New

The upgraded PixLab APIs are designed to deliver better results with less operational friction:

• Faster background removal for product images, portraits, marketing assets, and user-generated content.
• More accurate text and watermark removal across complex image backgrounds.
• Improved handling of rotated, angled, and partially transparent text overlays.
• More reliable document parsing for PDFs and business documents.
• Production-hardened processing built for scalable API workloads.

These improvements are available through the existing PixLab developer experience, so teams can continue using the same documented endpoints while benefiting from the upgraded processing layer.

Background Removal API

The PixLab Background Removal API automatically isolates foreground subjects and returns a clean transparent PNG output. It is useful for ecommerce, profile photos, creative tools, media automation, and any workflow that needs fast object cutouts.

The new version improves both speed and mask quality, producing sharper foreground edges and more stable results across a wider range of image types.

Documentation: Background Remove API

Text Watermark Removal API

The PixLab Text Watermark Removal API removes visible text overlays and watermarks from images while preserving the surrounding visual context.

The upgraded models improve detection quality, especially for angled text, repeated watermarks, mixed backgrounds, and real-world image content where text may be partially transparent or blended into the scene.

Documentation: Text Watermark Remove API

Document Parse API

The PixLab LLM Parse API extracts structured content from documents and converts files into developer-friendly output formats. It is built for workflows such as document ingestion, OCR-assisted parsing, data extraction, search indexing, and AI document pipelines.

The new version improves parsing reliability and makes document processing easier to integrate into production systems.

Documentation: LLM Parse API

Built For Developers

PixLab APIs are designed to be simple to call, easy to integrate, and reliable under production workloads. Developers can test the upgraded APIs, manage credentials, and monitor usage directly from the PixLab Console.

The FACEIO development team is pleased to announce the general availability of new REST API Endpoints for developers implementing fio.js, our facial authentication library on their websites or web applications.

With the new API Endpoints, you can now programmtically talk to your FACEIO application via your private backend regardless of the underlying programming language whether it is Python, Ruby, Java, PHP, etc. as long as it supports HTTP based requests.

These endpoints have been designed with developers in mind and are fully documented, making it easy for the developer to get started. The list of new released API endpoints includes but not limited to:

• DELETEFACIALID: Delete a particular Facial ID.
• CHECKFACIALID: Validate a particular Facial ID.
• SETFACIALIDPAYLOAD: Set or change Payload data linked to a particular Facial ID.
• SETFACIALIDPINCODE: Change PIN Code linked to a particular Facial ID.

To get started with the new REST API endpoints, simply head over to faceio.net/rest-api and consult the documentation. The documentation is comprehensive and includes examples to help you get started quickly.

We are confident that the new released API endpoints will be a valuable addition to your FACEIO integration and will help developers automate tasks such as Facial ID Deletion, PIN Code Reset, Payload Update, etc.

Finally, If you have any questions or feedback, please do not hesitate to raise a support ticket via the FACEIO Console. Our team is always ready to help and support you in any way we can.