ZERO-UPLOAD SANDBOX
100% In-Browser File.slice() · 29 Compiler-Verified Specs · 87 SHA-256 QA Fixtures

X-Ray Any Binary File Locally.
Zero Upload. Instant Schema.

Drop a 70 GB .gguf model, a 20 GB .parquet dataset, a sensitive .sqlite / .har dump, or a corrupted .xlsx download. Our paged header/footer reader decodes internal schemas & magic bytes in <20ms without uploading a single byte.

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Drop any local file (1 KB to 100 GB+) to inspect binary headers & schema

Reads tiny File.slice() header/footer pages in a sandboxed Web Worker · 0 Bytes Uploaded

01 · Paged Blob.slice() Engine

Instant 100 GB+ File Inspection

Unlike naive hex viewers that crash browser RAM or cloud tools that demand uploads, our adaptive cursor slices only dynamic header & footer pages (GGUF KV tables, SafeTensors JSON, Parquet Thrift footers, ZIP EOCD).

02 · Container Disambiguation

Catch Spoofed & Broken Files

Distinguishes .xlsx, .ipa, .aab, .npz, .usdz and PyTorch .pt inside shared ZIP headers—and flags API gateway HTML errors saved with binary extensions.

03 · Deterministic QA Fixtures

Edge-Case Samples + SHA-256

Grab 1 KB unit-test stubs, UTF-8 BOM multiline CSVs, EXIF Orientation=6 JPEGs, multi-column RAG PDFs, and truncated footers via immutable curl links.

Compiler-Verified Binary Atlas

Explore Modern High-Value File Specifications

Browse all 87 QA sample fixtures →
AI & Model Weights

Inspect 70GB+ tensor weights, quantization KV metadata & pickle safety locally

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Data Engineering & Columnar

Decode Parquet Thrift footers, SQLite schemas, Arrow IPC & Avro headers offline

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Modern Media & Spatial 3D

Verify ISOBMFF brands, EXIF rotation traps, AI PNG prompts & glTF/USDZ scenes

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DevTools, Captures & Bundles

Audit WASM sections, sanitize HAR captures, dissect mobile bundles & detect spoofed files

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For Engineering & AI Platform Teams

QA Upload Security & AI RAG Parser Torture Suite

Benchmarking Docling, Marker, LlamaParse, or hardening your SaaS file upload gateway? Get 500+ curated edge-case files—multi-column cross-page financial PDFs with 100% human-verified Ground-Truth Markdown/JSON outputs, benign polyglot headers, encoding edge-cases, and automated pytest / vitest runners.