Topaz Labs Tech Stack

AI-powered photo and video editing for creative professionals

Software Development Dallas, Texas 51–200 employees Founded 2006 Privately Held

Topaz Labs builds deep-learning image enhancement software (TensorFlow, PyTorch, ONNX, Core ML, TensorRT) deployed across desktop, web, and API surfaces. The stack breadth—from inference optimization (TensorRT, OpenVINO) to native UI frameworks (Qt, React, Vue)—reflects a company balancing consumer polish with production inference constraints. Active hiring in research and engineering, paired with stated pain points around inference efficiency and enterprise scaling, signals a shift from prosumer-focused products toward infrastructure that can handle higher-volume, lower-latency workloads.

Tech Stack 50 technologies

Core StackTensorFlow PyTorch Python C++ JavaScript AWS Go React Vue Svelte Next.js C/C++ OpenCV ffmpeg Qt Azure Conan ONNX Core ML TensorRT OpenVINO QML Windows macOS TIFF HTML CSS WebCodecs Canvas Web Workers+20 more

What Topaz Labs Is Building

◆Challenges

Increasing automated testing and stability
Processing a tiny fraction of the world’s content
Developing underlying technology for enterprise customers
Improving inference and memory efficiency
Expanding enterprise book
Converting prosumer customers
Scaling recruiting to match high growth trajectory
Building recruiting team from ground up
Expanding pipeline to deliver new products

▲Active Projects

Image and video enhancement
Topaz video ai
Topaz photo ai
Inverse problem imaging
Build infrastructure for api and web apps
Implement ci/cd pipelines
Increase automated testing and stability
Rapid prototype, build, and deploy new products
Native application development for windows/macos
Develop new deep learning models for inverse imaging problems

Hiring Activity

Decelerating20 roles · 4 in 30d

Department

Engineering

Product

Research

Marketing

Sales

Security

Seniority

Mid

Senior

Junior

Principal

Staff

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About Topaz Labs

Topaz Labs develops professional-grade photo and video editing software powered by deep learning models trained on inverse imaging problems (denoising, super-resolution, deconvolution). The platform reaches over 1 million photographers and videographers, with deployments reported at organizations including Apple, Netflix, and NASA. Products ship as native desktop applications (Windows/macOS) and web-accessible tools. The company processes imaging at scale and operates with a product-led motion, though ongoing hiring in enterprise-focused roles and recruiting infrastructure suggests an intentional expansion into team and enterprise use cases.

HeadquartersDallas, Texas

Company Size51–200 employees

Founded2006

Hiring MarketsUnited States

Frequently Asked Questions

What technology does Topaz Labs use to power image enhancement?

TensorFlow and PyTorch for model training; ONNX, Core ML, and TensorRT for cross-platform inference; OpenCV and ffmpeg for image/video processing; C/C++ and Python for core logic.

What is Topaz Labs working on?

Core work includes new deep learning models for inverse imaging, video and photo enhancement products, API and web app infrastructure, and CI/CD pipeline maturity. Secondary focus: converting prosumer users to enterprise and scaling recruiting.