Measured input
One multi-record PDF containing 40 document pages was used in the tested workflow.
Tested document automation benchmark
One 40-page PDF to 160 structured files in under 10 minutes.
A tested Micro AI document workflow generated Excel, XML, CSV and JSON outputs from one multi-record PDF with 99.5% extraction accuracy under the tested document conditions.
Controlled workflowSingapore / SG
- Receive the 40-page multi-record PDF and create a processing reference
- Separate the approved records and extract the required fields
- Apply validation rules and route uncertain values for human review
- Generate Excel, XML, CSV and JSON outputs from the validated records
Human review where requiredTraceable outputsExisting systems
Operational context
Start with the friction your team can see and measure.
Measured output
Each approved page generated Excel, XML, CSV and JSON, creating 160 structured files in total.
Measured processing time
The tested 40-page batch completed in under 10 minutes under the tested runtime and document conditions.
Measured extraction accuracy
The tested workflow achieved 99.5% extraction accuracy under the tested document conditions.
How the workflow operates
A clear route from input to controlled outcome.
- 01Receive the 40-page multi-record PDF and create a processing reference
- 02Separate the approved records and extract the required fields
- 03Apply validation rules and route uncertain values for human review
- 04Generate Excel, XML, CSV and JSON outputs from the validated records
- 05Confirm output counts, preserve traceability and notify the reviewer
Suitable applications
Use cases grounded in operational work.
Final scope depends on your data, systems, decision rights and acceptance criteria.
40-page tested batch
40 pages x 4 output formats produced 160 files in the tested workflow.
100-page output scale
At four approved formats per record, 100 pages produce 400 files. Timing and accuracy require separate testing.
500-page output scale
At four approved formats per record, 500 pages produce 2,000 files. Timing and accuracy require separate testing.
1,000-page output scale
At four approved formats per record, 1,000 pages produce 4,000 files. Timing and accuracy require separate testing.
Control by design
Automation should make ownership clearer.
The workflow is designed around approved access, validation, review and traceability, not only speed.
- 01Preserve the original source and a unique run reference
- 02Validate required fields, formats, rules and output parity
- 03Route low-confidence or exceptional values to an authorised reviewer
- 04Use deterministic logic for fixed business rules instead of model guessing
- 05Treat larger-batch timing and accuracy as separate benchmarks until tested
Questions to resolve
What to confirm before implementation.
01Was the under-10-minute result actually tested?+
Yes. The 40-page workflow completed in under 10 minutes under the tested runtime and document conditions.
02Was 99.5% accuracy actually tested?+
Yes. The tested workflow achieved 99.5% extraction accuracy under the tested document conditions. It is not presented as a universal accuracy guarantee for every document set.
03Does 1,000 pages also complete in under 10 minutes?+
No such claim is made. The 100-, 500- and 1,000-page figures on this page are output-count calculations only. Larger workloads need their own throughput and accuracy tests.
04Why generate several file formats from one record?+
Different people and systems may require different structures. Once the record is extracted and validated, it can be transformed into Excel, XML, CSV, JSON or another approved format without re-reading the source each time.
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