Comparison guide
SuperCompress vs summarization
Summarization rewrites context with another LLM call, risking fact changes. Query-aware selection keeps original text intact.
The summarization problem
- Extra LLM call - Paying for summarization AND the final response
- Fact changes - Summaries soften exact numbers and omit details
- Not auditable - Can't tell what was changed
Frequently asked questions
Does SuperCompress rewrite text?
No. It keeps selected original blocks.
Can I summarize after compression?
Yes. Compression removes unrelated material first.
Build with less context
Put compression in front of your next LLM call.
Use the hosted API or run SuperCompress locally. Keep the evidence, drop the token waste, and measure the savings before it reaches your model.