AI Data Preprocessing Compression Solutions

Format standardization and compression preprocessing before raw files enter the repository, reducing storage footprint

Intelligent file type recognition with automatic selection of optimal compression strategies, balancing quality and size

Compressed data is stored in object storage (MinIO/OSS), significantly reducing storage costs

On-demand decompression and loading, accelerating data reads and improving AI model training efficiency

Average storage cost reduction

Supported file format types

Data read acceleration multiplier

Service availability SLA

• Intelligent OFD/PDF document compression
• National cryptographic standard compliance
• Full Xinchuang compatibility
• Tamper-proof audit logs

• Lossless TIFF/DICOM compression
• Diagnostic-grade quality preservation
• PACS system integration
• Privacy data desensitization

• Dual encryption and compression protection
• Full-process audit logging
• Compliant storage solutions
• Transaction voucher archiving

• Online education video optimization
• 50%+ bandwidth cost reduction
• Multi-resolution adaptive streaming
• Synchronized courseware document compression

• Batch compression of engineering drawings
• Xinchuang environment compatibility
• Distributed processing architecture
• Long-term archiving solutions

Apply for an API Key and make your first compression request using curl/Python/Java/Node.js

Complete OpenAPI 3.0 specification, online debugger, and error code reference

Rust SDK dynamic library, C FFI headers, Python bindings, and multi-language example code