We built an OCR server that can process 270 dense images/s on a 5090
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HN · launched Apr 23, 2026 · 8 upvotes (top 52%) · 0 views
Niche: computer vision software and models · 225 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Data infrastructure
- Developer
- AI-native
- Commercial product
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More like this: all 225 launches in computer vision software and models →
Could you build this?
No Processing 270 dense document images per second on a single GPU requires low-level CUDA optimization, custom batching pipelines, and deep vision-model inference engineering that vibe coding cannot produce.
What it would actually take: The architecture requires high-performance C++/CUDA engineering utilizing TensorRT or vLLM-style optimized attention kernels, coupled with pinned host-memory pipelining (Zero-Copy/NVLink) to eliminate PCIe transfer bottlenecks. The hard parts are fusing custom OCR vision-backbone layers, INT8/FP8 quantization without accuracy loss, and high-throughput asynchronous GPU decoding.
Discussion
2 comments analyzed.
Competitors
Other products that read as similar to this one : 952 launches clear the similarity bar, closest 8 shown.
Attention rank: #503 of 953 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 174 days after the earliest competitor.
- CPU-only fast OCR for screenshots, images, PDFs, webpages · hn · 2026-05-31 · 9 upvotes · similarity 0.70
- indra · github · 2026-10-13 · 550 upvotes · similarity 0.58
- scan-sim · github · 2026-10-03 · 8 upvotes · similarity 0.57
- We benchmarked 18 LLMs on OCR (7K+ calls) · hn · 2026-04-22 · 5 upvotes · similarity 0.54
- scan-ocr · github · 2026-10-18 · 15 upvotes · similarity 0.51
- fly_ocr · github · 2026-09-13 · 82 upvotes · similarity 0.49
- OCR-grab: Flameshot clone that adds OCR · hn · 2026-07-09 · 6 upvotes · similarity 0.49
- Local-first fast CPU image to text for screenshots, PDFs, webpages · hn · 2026-06-05 · 19 upvotes · similarity 0.48
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