Try LFM • Docs • LEAP • Discord LFM2.5 VL 1.6B Extract LFM2.5 VL 1.6B Extract extracts user defined fields from images and returns them as JSON . It is Liquid AI's first vision model in the Liquid Nanos collection—compact, task specific models built for production workflows—and extends the Extract family alongside LFM2 1.2B Extract for text documents. ⚙️ How it works You specify what to extract as a YAML field list in the system prompt, and the model returns a JSON object with those fields. Structured outputs integrate cleanly with rule based systems and downstream pipelines. Use it out of the box or fine tune for domain specific extraction. System prompt : User prompt : Output : Our model supports the enum feature, which lets you provide a list of possible choices alongside the field description as follows, and the model will return one of the listed values as its answer. System prompt : 🌟 Use cases Detecting safety critical events in images (e.g. fallen person, fire, leakage) to trigger automated safety systems. Collecting statistical information about objects across video frames for analytics pipelines. Auto tag product images with structured attributes for Retail/E commerce. �…
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