K1Manager
Automated K-1 extraction, validation, and aggregation for fund-of-funds tax compliance. From PDF to Excel — with deterministic accuracy.
Everything you need to process K-1s
From PDF ingestion to Excel output, K1Manager handles the full pipeline.
Comprehensive Extraction
K-1, K-3, and 65+ state forms — all extracted from PDF. Federal, state, and international schedules in one workflow.
Deterministic Accuracy
No ML confidence scores. Coordinate-based parsing delivers exact values from known form layouts. 99%+ accuracy on standard formats.
Template-Driven
Configure once per client template. Every firm's K-1 aggregation template supported — your workpaper, your layout.
Aggregation Matrix
Multi-entity roll-up with full modification tracking — exclusions, reclassifications, overrides, all auditable.
Schema Management
User-defined tracking sections for Tax Capital, Basis, CAMT, EBIE, and any custom data blocks your workflow requires.
Excel Output
Copy-on-write output engine writes directly to your template. No reformatting, no copy-paste. Just open and review.
How it works
Four steps from PDF to completed workpaper.
Upload PDFs
Upload K-1, K-3, and state K-1 PDFs via SharePoint integration or direct upload. Automatic form detection and classification.
Review & Map
Three-panel review: PDF viewer, truth line outline, and box workspace. Map extracted values to your template's structure.
Push to Matrix
Push validated data to the aggregation matrix. Apply modifications — exclusions, reclassifications, overrides — with full audit trail.
Export to Excel
Generate completed Excel workpapers using your template. Copy-on-write engine preserves formatting and formulas.
Why deterministic parsing?
Most K-1 extraction tools use machine learning — training models on sample documents and returning confidence scores. That means manual review for every uncertain field, ongoing model maintenance, and unpredictable accuracy on new form layouts.
K1Manager takes a different approach. We use coordinate-based, deterministic parsing that reads form values from known positions. The result:
- Zero marginal cost per standard format — no retraining needed
- No confidence thresholds — values are exact or not extracted
- No training data required — works on day one for supported formats
- Complementary to ML tools — handle standard K-1s deterministically, use ML for unusual formats
ML-Based Extraction
- Confidence scores require review
- Training data needed per format
- Accuracy degrades on new layouts
- Ongoing model maintenance
K1Manager (Deterministic)
- Exact values, no confidence scores
- Works on day one
- 99%+ accuracy on supported formats
- Zero marginal cost per K-1
Ready to automate your K-1 workflow?
See K1Manager in action with your own data. Schedule a demo and we'll walk through the full pipeline.
Request a Demo