How much can Markdown save on token costs?
Depending on the source document, stripping XML and raw PDF layout vectors can reduce token count by 30% to 80%.
Discover why Markdown is the optimal prompt format for ChatGPT and Claude. Cut context tokens by up to 50% and boost accuracy with clean syntax.
Markdown is the best format for ChatGPT because LLMs are natively trained on Markdown repositories (like GitHub). It defines clear semantic boundaries with minimal tokens, ensuring faster, cheaper, and more accurate AI responses.
100% client-side WebAssembly execution. Your document never touches any server.
Launch Why Markdown is the Best Format for ChatGPT Prompts| Parameter | Requirement / Ceiling | Verification Standard |
|---|---|---|
| Allowed File Size Range | N/A | Portal Ingress Strict Limit |
| Target DPI & Resolution | N/A | ISO 32000-1 Raster Spec |
| Color Space / Profile | N/A | DeviceRGB / DeviceGray |
| PDF Specification Standard | All document types | PDF 1.4 - PDF 2.0 (ISO 32000-2) |
| Portal Rejection Triggers | N/A | Ingress Validator Strict Filter |
When optimizing or converting documents for strict portal limits or sharing, maintaining maximum legibility is critical. CrispPDF prevents blurriness and visual degradation through a multi-tier client-side processing pipeline:
Digital text and embedded fonts are stored as mathematical vector paths rather than raster pixels. CrispPDF preserves 100% vector sharpness at any zoom level.
For scanned forms and certificates, internal photos are downsampled with bicubic interpolation to optimal 100–150 DPI, preserving passport photos, seals, and signatures without pixelation.
Applies lossless FlateDecode compression to content streams and cleans unreferenced cross-reference (XREF) tables, eliminating structural bloat without touching visible content.
Unlike conventional cloud PDF converters that transmit confidential citizen documents to external web servers, CrispPDF processes files 100% locally inside your device RAM using client-side WebAssembly (WASM).
Depending on the source document, stripping XML and raw PDF layout vectors can reduce token count by 30% to 80%.
Founder & WebAssembly Systems Engineer at CrispPDF • Standards: ISO 32000-1, RFC 1951, UIDAI Non-Retention