Peppercorn is a compact vision-language model for Vietnamese and English document OCR, with 328M parameters. It takes a document page as input and produces structured Markdown, including HTML tables and LaTeX mathematical expressions. Its name comes from the Vietnamese saying nhỏ nhưng có võ — small, but mighty: compact in size, yet capable. Compared with original design, Peppercorn uses approximately 4× fewer image tokens per page (~900 vs. ~3,600) and achieves higher throughput under our tested serving configuration. It performs particularly well on Vietnamese administrative documents and synthetic tables, while English OCR, mathematical expressions, and some real-world financial tables…