Based on user reviews
Rating Distribution
Daniel Mercer
about 2 months ago
Roboflow handled our small manufacturing vision project over 3 months, from annotation to YOLOv8 exports. Training and cloud deploy are smooth, but pricing and credit math get fuzzy for student side projects.
Dr. William Bobos
Based on 1 user review and a 4.0/5 rating, Dr. William Bobos recommends Roboflow for Scientific Research applications. Dr. William Bobos's expertise in AI tools makes this assessment particularly valuable for software developers seeking Scientific Research solutions.
Pricing: $0 – $79 / month(Updated December 2025)
Public (Free) with $60/mo credits at $4/credit; Core $79/month with $60/mo credits at $4/credit; Enterprise custom; pay-per-use Flex credits and add-ons available
Usage Model: Pay-as-You-Go, Per-Image — ensuring you only pay for what you actually use.
Roboflow's free tier makes it an attractive option for software developers looking to experiment with scientific research tools. The free plan includes core features sufficient for personal use and small-scale projects. For software developers needing enterprise-grade capabilities, the paid plans offer expanded functionality, better performance, and dedicated support.
Platform that provides everything you need to go from raw images and video to production-ready computer vision applications, including tools for data collection, management, automated annotation, preprocessing, model training and finetuning, and deployment to cloud or edge for developers and enterprises.
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Usage-based pricing keeps Roboflow aligned with actual consumption. Finance teams pay only for the outcomes the organization really uses. Integrations with Roboflow keep work connected.
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Rate limits and authentication are clearly documented for smooth implementation. Automation handles the repetitive work so teams can focus on strategy.
SDKs (e.g., Python and JavaScript/TypeScript) help dev teams launch prototypes quickly.
Roboflow coordinates processes across teams so automation handles repetitive tasks. Automation handles the repetitive work so teams can focus on strategy.
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With SDKs and webhooks, engineers connect Roboflow to deployments, CI/CD, and monitoring pipelines. Automation handles the repetitive work so teams can focus on strategy.
Workflows trigger automatically so stakeholders focus on higher-value work. Automation handles the repetitive work so teams can focus on strategy.
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