Sold by: Mphasis
Deployed on AWS
Computer vision based solution to detect and correct tilt in scanned documents to improve the performance of document processing pipelines.
Overview
Scanned documents sometimes can have pages with wrong alignment. This can create challenges while processing of documents viz. OCR, ICR, Text extraction, image-based ML/AI modelling, etc.
This solution incorporates statistical models which identify angle of tilt based on textual orientation, position of text relative to page boundaries and text clusters and corrects the alignment / tilt of the pages. This enables OCR / ICR engines to achieve higher accuracy and improves the subsequent text extraction pipelines.
Highlights
- This solution can be used to correct alignment issues which occur while scanning a document with scanner or phone.
- To correct the alignment / tilt of the pages, this solution performs Affine transformation and runs statistical models to identify angle of tilt. It identifies and segregates different objects while considering textual information primarily for angle calculation.
- Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need customized Machine Learning and Deep Learning solutions? Get in touch!
Details
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Latest version
Deployed on AWS
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Pricing
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $8.00 |
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $4.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $8.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $8.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $8.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $8.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $8.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $8.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $8.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $8.00 |
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Delivery details
Amazon SageMaker model
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Version release notes
Bug Fixes and Performance Improvement
Additional details
Inputs
- Summary
Following are the mandatory inputs for tilt correction algorithm on scanned documents:
- Supported content type: application/zip
- The algorithm detects and corrects tilt in scanned documents.
- The algorithm works with scanned documents in formats – PDFs and Images. The input documents must be zipped.
- Images can be of following types - bmp, dib, jpeg, jpg, jpe, png, pbm, pgm, ppm, tiff, tif
- Limitations for input type
- The input zip file can have up to 10 images. A scanned document in PDF format can have maximum 10 pages.
- Input MIME type
- application/zip
https://github.com/Mphasis-ML-Marketplace/Scanned-Document-Tilt-Correction/tree/main/Input
https://github.com/Mphasis-ML-Marketplace/Scanned-Document-Tilt-Correction/tree/main/Input
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Customer reviews
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1 external reviews
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Vivek S.
Good Software for documents alignment
Reviewed on Apr 16, 2025
Review provided by G2
What do you like best about the product?
It helped me to align the document aptly by positioning the text.
What do you dislike about the product?
Sometimes it stuck with the document and needs to relaunch the s/w again.
What problems is the product solving and how is that benefiting you?
It helped us to keep the document aligned to for better reading by AI tools.