

SinglePass and Summarized Extraction introduces two approaches to save token costs: prompt consolidation and document summarization.
Every new field you extract increases your API calls—and your costs.
The math is brutal
More fields × More documents = Exponentially higher costs.
You’re stuck between two choices
Limit the data you extract or watch your API costs spiral out of control.
Neither option works when you need comprehensive extraction at scale.
Consolidate your prompts into one optimized version and execute it once against the full document. Speed up processing and experience dramatic cost savings.
Summarized Extraction creates a concise version of your documents with only vital information. It then runs your prompts against this optimized version. Process lesser text to speed up your extractions, while using fewer tokens.
SinglePass and Summarized Extraction delivers tangible returns across your entire flow of operations.
Token Cost Savings
Reduction in
Latency
Document Context Maintained
CTO, Tokenstreet
Unstract lets us turn a wide range of document formats into clean, structured data with low integration effort and without compromising on enterprise-grade controls. Its high extraction accuracy paired with clear highlight-based validation speeds up our process a lot!
SinglePass Extraction combines all your field extraction prompts into one optimized request. Instead of sending your document to the LLM 20 times to extract 20 fields, it gets sent once. This reduces token consumption and API calls.
Summarized Extraction first creates a summary of your document containing only relevant information, and then performs extraction on this compressed version. The original document may be 50 pages, but the summarized version could be just 2-3 pages with all the necessary data preserved.
Use Summarized Extraction when:
Privacy policy | Terms of service | DPA | 2025 Zipstack.Inc. All rights reserved.
We use cookies to enhance your browsing experience. By clicking "Accept", you consent to our use of cookies. Read More.