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Arcee AI SpotlightSpotlight Images Accurately

Try Arcee AI SpotlightAPI Documentation

Process Vision Fast

Image Grounding

Tight Text Alignment

Fine-tuned on Qwen 2.5-VL for precise image-text grounding in agent workflows.

128K Context

Rich Multimodal Chats

Handles lengthy documents with multiple images for visual question answering.

Consumer GPU

Fast Inference Speed

Runs efficiently on consumer hardware while matching larger VLMs on VQA benchmarks.

Examples

See what Arcee AI Spotlight can create

Copy any prompt below and try it yourself in the playground.

Chart Analysis

“Analyze this sales chart image. Extract key trends, totals, and comparisons across quarters. Provide a structured summary table.”

UI Mockup

“Describe this app UI screenshot. Identify all buttons, navigation elements, and layout issues for accessibility.”

Diagram Parse

“Interpret this flowchart image. Outline the decision steps, inputs, outputs, and potential bottlenecks in sequence.”

Document Scan

“Combine this long PDF text with the attached invoice image. Verify totals, dates, and flag discrepancies accurately.”

For Developers

A few lines of code.
Vision LLM. One call.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Arcee AI Spotlight

Read the docs

Arcee AI Spotlight is a 7B vision-language model from Qwen 2.5-VL, fine-tuned for image-text grounding. It supports captioning, VQA, and diagram analysis. Use Arcee AI Spotlight API for agent tasks.

Arcee AI Spotlight model offers 128K or 131K token context. This enables multimodal conversations with documents and images. Confirmed across providers like Together AI.

Yes, training focused on fast inference for consumer GPUs. It retains accuracy in captioning and VQA. Benchmarks match larger models like LLaVA 13B.

Use OpenAI-compatible endpoints for text and image inputs. Send base64 images or URLs with prompts. Output is text descriptions or analyses.

Arcee AI Spotlight excels in grounding tasks over general VLMs. For similar speed, consider its base Qwen 2.5-VL. No direct drop-in alternative matches its fine-tuning.

Released May 5, 2025 by Arcee AI. Available via OpenRouter, Together AI. Model ID: arcee-ai/spotlight.

Ready to create?

Start generating with Arcee AI Spotlight on ModelsLab.

Try Arcee AI SpotlightAPI Documentation