What TurboLens is
An API layer for document and image trust. Placed after upload and before approval workflows, it answers two distinct questions: has this existing image been locally edited, and was this image generated or modified by AI?
Forgery detection returns a verdict, the proportion of suspicious pixels, region coordinates and a heatmap. Downstream, specialized OCR extracts structured data from invoices, identity documents and contracts, with particular depth in Southeast Asian formats.
What you can do with it
- Screen images for splicing, copy-move edits and retouching
- Check whether images are AI-generated or AI-edited, in early access
- Extract structured data from invoices, receipts and passports
- Route flagged submissions to manual review by your own thresholds
- Integrate via REST JSON without rebuilding your pipeline
Who it is for
- KYC, lending and insurance teams verifying submissions
- Document processing pipelines needing authenticity checks
- Platforms fighting fraudulent identity uploads
- Engineering teams adding forensics without in-house CV work
What to watch out for
- Synthetic-media detection is early access; treat results as screening, not proof
- Automated verdicts support review but do not replace human judgment or business rules
- Handling identity documents makes compliance and retention terms critical
- Accuracy varies with image quality and manipulation sophistication
Pros & cons
✓ What we like
- Two distinct forensic questions kept separate and traceable
- Evidence outputs (heatmap, regions) support human review
- Regional OCR depth for SEA documents
- Straightforward API integration
! What to watch out for
- Detection is probabilistic and can be evaded
- Early-access features carry change risk
- Identity data handling demands strict compliance
FAQ
What is the difference between forgery and AI detection here?
Forgery detection finds edits to an existing image; AI detection screens whether generative AI created or modified it. TurboLens treats them as complementary layers.
Where does it fit in a workflow?
Typically immediately after upload and before OCR, extraction or approval, with flagged items routed to manual review.
What evidence does it return?
A real-or-forged verdict, tampered-pixel proportion, suspicious-region coordinates and a heatmap.
Last reviewed: 2026-09-15
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