Akabot Vision — Release Notes
v3.2.0 — April 2026
New features
- Generative extraction — Use a large language model to extract fields from documents without a predefined template — just describe the fields in plain text.
- Handwritten text support — OCR engine now handles cursive and mixed print/handwritten content with a new HTR (Handwritten Text Recognition) model.
- Batch processing queue — Submit hundreds of documents in a single API call; Vision processes them asynchronously and posts results to a webhook.
Improvements
- Table detection accuracy on complex invoices with nested headers improved from 87% to 94%.
- Validation station UI redesigned: keyboard-only navigation, bulk-accept for high-confidence pages.
- Model training now requires 30% fewer labeled samples to reach production-ready accuracy.
Bug fixes
- Fixed confidence scores displaying as 0% for multi-page PDFs after the 10th page.
- Resolved an issue where rotating a document 180° in preprocessing broke the field coordinate mapping.
- Fixed extraction template editor not saving changes when switching document types without explicit save.
v3.1.0 — January 2026
New features
- Document splitting — Automatically detect and split multi-document PDF bundles into individual files before classification.
- Signature detection — New field type that detects the presence or absence of a signature in a defined region.
- REST API v2 — Synchronous extraction endpoint for documents under 5 MB; no polling required.
Improvements
- Vietnamese language model accuracy improved by 18% after retraining on expanded corpus.
- Processing throughput increased to 500 pages/minute per tenant (up from 200).
- Extraction results now include bounding box coordinates for each extracted value.
Bug fixes
- Fixed an intermittent failure when processing TIFF files with CCITT Group 4 compression.
- Corrected field extraction on documents with right-to-left (RTL) text mixed with LTR content.
v3.0.0 — September 2025
New features
- Akabot Vision v3 launch — Rebuilt on a transformer-based OCR and extraction pipeline.
- No-code template editor — Draw field zones on a document image and label them — no configuration files required.
- Human-in-the-loop station — Embedded web UI for reviewers to validate and correct uncertain extractions before they flow downstream.
Breaking changes
- Vision v2 template format (
.vtemplate) is not compatible with v3. Re-create templates using the new editor. - The v2 Python SDK for Vision is deprecated; use the REST API or the new Studio activity pack.
Bug fixes
- Resolved a memory exhaustion issue when processing PDF files larger than 100 MB.