VLM Run (@vlmrun) header
VLM Run (@vlmrun) profile picture

Visual Intelligence for Developers

Santa Clara, CA
Joined January 2022
Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)Photo by VLM Run (@vlmrun)
Pinned Tweet
Introducing VLM Run Gateway: run open-weight VLMs, OCR VLMs, embodied VLMs, and specialized ViTs in one OpenAI-compatible API. You don't need a trillion parameters to parse documents, understand images, or summarize videos. When every model runs on one API, changing models is as simple as changing a parameter. The visual frontier just moved. Your AI bill should too. $ uvx vlmrun gw models
9
6
4
39
646,926
Our October changelog is 🔥. If you're a dev building with VLMs, this is for you. A new OCR Playground, official Claude MCP connector for VLM Run Gateway, System One field extraction and native image and box support, and new models.
1
1
59
New: EmbeddingGemma 2 on the @vlmrun Gateway. One model for text, image, document, video, and audio embeddings. 740M parameters, 768 to 128 dimensions, $0.01 per 1M tokens.
1
2
6
197
New: Our System One API can now extract JSON fields, fast! Text, numbers, dates, and lists, each read in parallel and returned typed, or null when it's missing. Up to 3.7x faster than constrained JSON schema extraction, and up to 3.3x faster than JSON mode, on the same model. Support for native PDFs (up to 16 pages), images, and text inputs.
2
2
1
5
479
New: LightOnOCR-3-4B on the @vlmrun Gateway. One model for Markdown, grounding, and layout. 4B params, 86.3 on olmOCR-Bench, 75.1 on ParseBench.
1
1
3
156
I made a computer vision demo for push ups! Working with @movewithmigs on strength training, and I did a push ups test to see how many I could do. I thought I did 25, but computer vision counted 24 🤣 keeping me honest lol I'm using ViTPose+ Large through the @vlmrun Gateway for pose estimation. I'm using the vertical displacement of the shoulder to detect full range of motion, and using the ankle-hip-shoulder line to compare against a straight back reference. You can see a plot of how much my back deviates from the straight line reference. In the last two reps, you can see that I am deviating a bit. Since everyone’s push ups look different, we can tune the thresholds accordingly if needed. Let me know what you think! The code is open-source on GitHub: github.com/jeremyipark/visio…
21
11
1
212
6,758
VLM Run retweeted
Run and compare open-weight OCR models on the new @vlmrun OCR Playground. Auto-eval and compare costs between several VLMs including PP-OCRv6, GLM-OCR, PaddleOCR-VL 1.6, DeepSeek-OCR-2, and the new LightOnOCR-3! Try the OCR Playground on your own data: chat.vlm.run/#ocr
2
5
30
2,674,419
Run and compare OCR models side by side on the @vlmrun OCR Playground. For models with grounding, hover any extracted value to see exactly where it came from on the page. Models Supported: PP-OCRv6, LightOnOCR-3-4B, dots.mocr, PaddleOCR-VL-1.6, GLM-OCR, DeepSeek-OCR-2 and more.
1
4
1
7
350
We just added @typesafeai's native Image and Box support to our System One API. Pass an Image as the state, ask Box questions, get the region back as four edges. Same TypeSafe SDK: point it at gateway.vlm.run/typesafe.
1
2
1
6
474
Run and compare open-weight OCR models on the new @vlmrun OCR Playground. Auto-eval and compare costs between several VLMs including PP-OCRv6, GLM-OCR, PaddleOCR-VL 1.6, DeepSeek-OCR-2, and the new LightOnOCR-3! Try the OCR Playground on your own data: chat.vlm.run/#ocr
2
5
30
2,674,419
Yes, @LightOnIO models are really good! So is dots.mocr.
591
VLM Run retweeted
We're heading into a new era of sports analytics, where any cricket enthusiast or aspiring athlete can analyze their own personal videos and start building an AI-powered personal coach. I spent about 10 minutes fetching clips, extracting bowling form with the @vlmrun gateway and comparing bowling traces from @Jaspritbumrah93, @malinga_ninety9 and others.
2
6
2
62
3,869
New: System One reads pixels. Ask a typed question about an image. Get a calibrated distribution over your labels back, not a string to parse. Works with the TypeSafe SDK unchanged: point base_url at gateway.vlm.run/typesafe
2
1
6
304
September changelog. Lots of exciting updates last month, and lots more to come including new guides and cookbooks.
1
1
5
219