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FAQs and Issues

Our platform utilizes advanced AI-powered Optical Character Recognition (OCR)models to enhance the efficiency and accuracy of data extraction. However, like any sophisticated tool, users may encounter various issues that arise from different aspects of the system.

FAQs

Why are some values incorrect or missing?

This usually happens due to:

  • Unclear handwriting
  • Low-quality scans
  • OCR limitations
  • Overwritten/misused fields

In most cases, you can manually correct the value. If the same issue happens consistently across many records, contact the OGRRE team.

Why is a single boolean type field shown as two fields in the digitized record?

This is due to an OCR design limitation. When a document uses separate “Yes” and “No” checkboxes for one question, the system detects them as two individual boolean fields instead of one combined field. This cannot be changed immediately. If needed, the fields can be merged during post-processing (e.g., in Excel or via a script).

Why does the system change my manually edited value?

This is caused by the auto-cleaning logic. OGRRE tool automatically formats values to match expected patterns for specific fields. If your edit does not match the accepted format, it may be overwritten or reformatted. If you think it is incorrectly handled for any field repeatedly across multiple records, report it to the OGRRE team so the acceptable formats can be updated.

What issues cannot currently be fixed?

Some issues are due to OCR processor limitations, including:

  • Incorrect detection of unclear handwriting
  • Signature detection failures
  • Some checkbox detection errors

These depend on improvements in the underlying OCR models and may not be immediately fixable.

Can reprocessing the records with retrained AI models fix issues?

Reprocessing documents involve deleting current records and reuploading them to get reprocessed against the updated AI processor. Any progress for the reviewed records like edits will be lost, and records’ status will be marked as ‘Re-digitized’. Consider reprocessing only in case of significant updates to corresponding AI processor, example - missed or incorrectly marked fields. For occasional missed detections, retraining the processor and reprocessing records does not guarantee detection improvement.

When should I contact the OGRRE team?

Contact the OGRRE team when:

  • The same field is incorrectly detected in many records
  • Auto-cleaning repeatedly incorrectly modifies valid values
  • Field order or unnecessary fields need to be updated
  • A specific simple or complex field is always missing in many records

For one-off OCR errors, manual correction is usually sufficient.


Example of Common Issues:

Here we list common issues users may stumble upon, we categorize these issues into three primary areas:

  1. Issue with Detection of Value or Position: Includes detection issues like wrong value, missing value, partial detection, wrong mapping, nested rows missing, signature detection issues.
  2. Issue with Fields, Type, or Order of Fields: Includes issues like field split into two checkboxes, complex field structure, wrong order, unnecessary fields.
  3. Issue with Auto-Cleaning: Includes issues like value cleaned and reformatted incorrectly, manual edits overwritten.

Issues Table Overview:

ColumnDescription
1IssueIssue definition
2ExampleBrief explanation with an image illustrating the issue
3FixableIs the issue fixable? (Yes/No)
4NotesAdditional information about the issue
5SolutionSuggested solutions or alternative methods to address the problem.

Issues with Value or Position Detection:

Includes detection issues like wrong value, missing value, partial detection, wrong mapping, nested rows missing, signature detection issues

IssueExampleFixable?NotesWay Around
1Value detected incorrectlyUnclear text on documents is captured incorrectly most of the times: No. Processor limitation - can't fixSometimes, values are not detected due unclear handwriting and is a processor limitation which can't be fixed.Can edit field manually to add correct value
2Partial value got detected MaybeSometimes, values are not detected due unclear handwriting and is a processor limitation which can't be fixed. But if there are many occurrences, the processor may need to be re-trained to improve identification of the correct locationCan edit field manually to add correct value

⚠️Contact OGRRE team only if the issue occurs every time ⚠️
3Value location detected incorrectlyField ‘X’ may be assigned field ‘Y’ value and location: MaybeSometimes due to processor limitations, issues like this may occur. But if there are many occurrences, the processor may need to be re-trained to improve identification of the correct location.Can edit field manually to add correct value

⚠️Contact OGRRE team only if the issue occurs every time ⚠️
4Value not detectedValue for a specific field is not identified. In example below, it was not identified but was manually added: MaybeSometimes due to OCR limitations, issues like this may occur. But if there are many occurrences, the processor may need to be re-trained to improve identification of the correct location.Can edit field manually to add correct value

⚠️Contact OGRRE team only if the issue occurs every time ⚠️
5Checkbox value detected incorrectly- Values not detected - Squares detected instead of true/ false No. Processor limitation - can't fixSometimes, values are not detected due unclear text images and is a processor limitation which can't be fixed. Cannot fix it until Google improves their OCR modelsCan edit field manually to add correct value
6Tabular data detection misses sub-values for particular rowsSome values are not detected, making it incompletely digitized section MaybeSometimes, values are not detected due unclear handwriting and is a processor limitation which can't be fixed. Raise issue if a particular field is not detected every time, or is not listed in parent action menu as ‘add child field <field>’.Can edit field manually to add missing children field-value pairs

⚠️Contact OGRRE team only if particular field is not detected every time in all records ⚠️
7Tabular data detection misses multiple rowsMaybeSometimes, values are not detected due unclear handwriting and is a processor limitation which can't be fixed. Raise issue if a particular field is not detected every time, or is not listed in the parent action menu as ‘add another <field>’.Can edit the field manually to add another complex field for missing rows.

⚠️Contact OGRRE team only if the issue occurs every time ⚠️
8Signature fields not detectedNo. Processor limitation - can't fixValues are not detected due unclear handwriting and is a processor limitation which can't be fixed until OCR models improve.Manually edit fields to add values.
9Fields marked ‘not found’ but contain an incorrect valueYesMostly an auto-cleaning issue. Raise issue to discuss auto-cleaning function for this field if it happens every time. Auto-cleaning function needs to update to allow empty values⚠️Contact OGRRE team to fix this issue ⚠️

No way around. Mark the record to revisit after discussing with the OGRRE team.

Issue with Fields, Type, or Order of Fields:

Includes issues like field split into two checkboxes, complex field structure, wrong order, unnecessary fields.

IssueExampleFixableNotesWay Around
1Yes/No fields have two boolean fields associated instead of oneTwo fields detected instead of one boolean: Not as of now.Processor limitation necessitated splitting this into two fields.

Additional processing to merge two fields into one is possible, but is a larger effort for OGRRE team, and needs schema discussions to discuss feasibility
OGRRE users can write post processing scripts or excel formulas for the exported data, to merge these values into one boolean field.
2Tabular/ complex data shown as multiple nested fieldsNoThis is by design of the tool, and was necessary to support showing the confidence and raw value fields for all the sub-valuesNA
3Incorrect schema order on all recordsOrder of fields on record do not match the scanned document order: YesThe schema order is designed for each record group/ processor and can be changed.

⚠️Contact OGRRE team if a schema order update is needed ⚠️
4Some fields detected are not neededYesThe schema is designed for each record group/ processor and can be changed. To remove certain fields from UI implies a schema update.

⚠️Contact OGRRE team if a schema update is needed ⚠️

Schema Issues:

IssueImageFixable?NotesWay Around
1Auto-cleaning edits the value incorrectly or in incorrect formatEven if value is manually edited, auto-cleaning edits it to something else: YesRaise issue to discuss auto-cleaning function for this field Auto-cleaning function needs to update the acceptable value formats⚠️Contact OGRRE team to fix this issue ⚠️

No way around. Mark the record to revisit after discussing with the OGRRE team.
2Fields marked ‘not found’ but contain an incorrect valueYesMostly an auto-cleaning issue. Raise issue to discuss auto-cleaning function for this field if it happens every time. Auto-cleaning function needs to update to allow empty values⚠️Contact OGRRE team to fix this issue ⚠️

No way around. Mark the record to revisit after discussing with the OGRRE team.