OCR Provider Comparison Report

This report provides a comprehensive analysis of three OCR providers—AWS Textract, Google Gemini, and Tesseract—tested against marksheet documents in both English and Hindi. The field mapping was performed using AWS Bedrock across all tests.

Executive Summary

Provider	Best For	Processing Speed	Accuracy (Avg Confidence)	Reliability
AWS Textract	English Documents (Printed & Handwritten)	Fast (~2.1s OCR)	95%+ for English	100% Success
Google Gemini	Hindi Documents, Handwritten & Mixed Language	Slow (~5.8s OCR)	90% across all types	100% Success
Tesseract	Plain Machine-Printed English Only	Fastest (~2.5s OCR)	Unreliable (reports 90% but inaccurate)	75% Success

Primary Recommendation: Use Google Gemini for Hindi documents and AWS Textract for English documents. Avoid Tesseract for production use due to unreliable text extraction quality despite faster processing times.

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Test Configuration

• Total Documents Tested: 4 marksheets

• OCR Providers: AWS Textract, Google Gemini, Tesseract

• Mapping Provider: AWS Bedrock (consistent across all tests)

• Total Tests Conducted: 12 (4 documents × 3 providers)

• Test Duration: 64 seconds

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Document Samples Tested

Abhishek Marksheet (English)

Document Details:

• Board: Jharkhand Academic Council, Ranchi

• Examination: Annual Secondary Examination - 2024

• Expected Language: English

• File Size: 356 KB

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Md. Arsh Marksheet (English)

Document Details:

• Board: Jharkhand Academic Council, Ranchi

• Examination: Class 11 Examination, 2024

• Expected Language: English

• File Size: 418 KB

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Ujjwal Kumar Marksheet (Hindi)

Document Details:

• School: बलदेव उच्च माध्यमिक विद्यालय, दानापुर कैंट, पटना

• Examination: Class 9 Annual Examination - 2025

• Expected Language: Hindi

• File Size: 190 KB

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Vishal Kumar Marksheet (Hindi)

Document Details:

• School: राजकीय नेत्री उच्च विद्यालय, कदमकुआं, पटना

• Examination: Classes VI to VIII - 2025

• Expected Language: Hindi

• File Size: 947 KB

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Detailed Provider Analysis

AWS Textract + Bedrock

Summary Statistics:

• Success Rate: 100% (4/4 documents)

• Average OCR Time: 2,110 ms

• Average Mapping Time: 2,622 ms

• Average Total Time: 4,732 ms

• OCR Confidence (English): 95-99%

• OCR Confidence (Hindi): 60-68%

• Average OCR Confidence: 80% (combination of English and Hindi)

Strengths:

1. Excellent English Text Recognition: Produces clean, structured text output for English documents

2. Consistent Performance: No failures across all tested documents

3. Good Processing Speed: Balance between speed and accuracy

4. Table Structure Recognition: Maintains table layouts well in output

Weaknesses:

1. Poor Hindi Text Recognition: Outputs garbled text for Hindi documents (e.g., "acida 000 Pallicia" instead of "बलदेव उच्च माध्यमिक विद्यालय")

2. Lower Confidence for Hindi: Confidence drops to ~60-68% for Hindi documents

3. Language Detection Issues: Incorrectly detects Hindi documents as English

Sample Extraction: Abhishek Marksheet (English)

Extracted Text (AWS Textract):

JHARKHAND ACADEMIC COUNCIL, RANCHI
Results of
Annual Secondary Examination - 2024
Roll Code: 11163
Roll No.: 0048
Student's Name: ABHISHEK ORAON
Father's Name: TULSI ORAON
Mother's Name: SALGI DEVI
School: ADIVASI BAL VIKAS HIGH SCHOOL RATU
...
Total Obt. Marks: 361
Result: FIRST DIV.
Marks Percentage: 72.20

Mapped Fields (via Bedrock):

Field	Extracted Value	Accuracy
Student Name	ABHISHEK ORAON	✅ Correct
Roll Number	0048	✅ Correct
Marks	361	✅ Correct
Percentage	72.20	✅ Correct
Grade	FIRST DIV.	✅ Correct
Passing Year	2024	✅ Correct
School Name	ADIVASI BAL VIKAS HIGH SCHOOL RATU	✅ Correct
Board Name	JHARKHAND ACADEMIC COUNCIL, RANCHI	✅ Correct

Confidence: 99.36% | Processing Time: 3,837 ms

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Sample Extraction: Ujjwal Kumar Marksheet (Hindi)

Extracted Text (AWS Textract):

acida 000 Pallicia
alongs doc, 40011 - 801503 (PAETR)
U-DISE CODE : 10280804502
Par.Pa.a.er. asis : : 71132 000 17044 a : 113 BSEB Code : JCDPPT00496
421100 :
real
Parido : 20/05/2025

Mapped Fields (via Bedrock):

Field	Extracted Value	Accuracy
Student Name	acida 000 Pallicia	❌ Incorrect
Roll Number	40011 - 801503	❌ Garbled
Percentage	500 293 58.6%	⚠️ Partial
Passing Year	2025	✅ Correct
School Name	yo belosizers	❌ Incorrect
Board Name	46101 2"CY Pallery	❌ Incorrect

Confidence: 60.78% | Processing Time: 5,468 ms

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Google Gemini + Bedrock

Summary Statistics:

• Success Rate: 100% (4/4 documents)

• Average OCR Time: 5,817 ms

• Average Mapping Time: 1,570 ms

• Average Total Time: 7,386 ms

• Average OCR Confidence: 90%

Strengths:

1. Excellent Multi-Language Support: Accurately reads both Hindi and English text

2. High Accuracy: Consistently 90% confidence across all documents

3. Correct Language Detection: Properly identifies Hindi documents as Hindi

4. Clean Text Output: Well-structured, readable extracted text

5. Best Overall Quality: Recommended for production use

Weaknesses:

1. Slower Processing: ~2.7x slower than AWS Textract for OCR

2. Higher Cost: API calls may be more expensive at scale

3. Minor Typos: Occasional minor spelling variations (e.g., "JHARAKHAND" vs "JHARKHAND")

Sample Extraction: Abhishek Marksheet (English)

Extracted Text (Google Gemini):

JHARAKHAND ACADEMIC COUNCIL, RANCHI
Results of
Annual Secondary Examination - 2024

Roll Code 11163
Roll No. 0048
Student's Name ABHISHEK ORAON
Father's Name TULSI ORAON
Mother's Name SALGI DEVI
School ADIVASI BAL VIKAS HIGH SCHOOL RATU
...
Total Obt. Marks 361
Result FIRST DIV.
Marks Percentage 72.20

Mapped Fields (via Bedrock):

Field	Extracted Value	Accuracy
Student Name	ABHISHEK ORAON	✅ Correct
Roll Number	0048	✅ Correct
Marks	361	✅ Correct
Percentage	72.20	✅ Correct
Grade	FIRST DIV.	✅ Correct
Passing Year	2024	✅ Correct
School Name	ADIVASI BAL VIKAS HIGH SCHOOL RATU	✅ Correct
Board Name	JHARKHAND ACADEMIC COUNCIL, RANCHI	✅ Correct

Confidence: 90% | Processing Time: 7,125 ms

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Sample Extraction: Ujjwal Kumar Marksheet (Hindi)

Extracted Text (Google Gemini):

बलदेव उच्च माध्यमिक विद्यालय
दानापुर कैंट, पटना - 801503 (बिहार)
U-DISE CODE : 10280804502
वि.वि.प.स. कोड : माध्यमिक : 71132 उच्च माध्यमिक : 17044 व्यावसायिक : 113 BSEB Code : JCDPPT00496

प्रमाणित किया जाता है कि उज्जवल कुमार पिता-
श्री विनोद पण्डित माता- मालती देवी वर्ग नवम् की वार्षिक
परीक्षा वर्ष - 2025 में उत्तीर्ण हुआ है।

हिन्दी - 100 - 63
संस्कृत - 100 - 52.
गणित - 100 - 75
विज्ञान - 100 - 54
सामाजिक विज्ञान - 100 - 49
500 293 58.6%
अंग्रेजी - 100 54

Mapped Fields (via Bedrock):

Field	Extracted Value	Accuracy
Student Name	उज्जवल कुमार	✅ Correct (in Hindi)
Roll Number	null	⚠️ Not on document
Percentage	58.6%	✅ Correct
Passing Year	2025	✅ Correct
School Name	बलदेव उच्च माध्यमिक विद्यालय	✅ Correct
Board Name	BSEB	⚠️ Partial (can be improved with prompt refinement)

Confidence: 90% | Processing Time: 8,140 ms

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Sample Extraction: Vishal Kumar Marksheet (Hindi)

Extracted Text (Google Gemini):

परीक्षाफल-पत्रक
सत्र-2025 Classes VI to VIII
राजकीय नेत्त्री उच्च विद्यालय, स्थान कदमकुआं, पटना-3
नाम... विशाल कुमार
वर्ग....... खण्ड.
नामांक....... 01.

विषय                          पूर्णांक  प्राप्तांक
1 मातृभाषा (हिन्दी )          100       79
2 द्वितीय भारतीय भाषा (संस्कृत) 100       88
3 अंग्रेजी                      100       88
4 ब्यवसाये संगीत               100       91
5 विज्ञान                       100       92
6 सामाजिक विज्ञान             100       95
योग                            625       89.28%

Mapped Fields (via Bedrock):

Field	Extracted Value	Accuracy
Student Name	विशाल कुमार	✅ Correct
Roll Number	01	✅ Correct
Percentage	89-28%	✅ Correct
Grade	उत्तम	✅ Correct
Passing Year	2025	✅ Correct
School Name	राजकीय नेत्त्री उच्च विद्यालय	✅ Correct

Confidence: 90% | Processing Time: 8,328 ms

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Tesseract + Bedrock

Summary Statistics:

• Success Rate: 75% (3/4 documents)

• Average OCR Time: 2,491 ms

• Average Mapping Time: 1,174 ms

• Average Total Time: 3,665 ms

• Average OCR Confidence: 90% (reported, but misleading)

Strengths:

1. Fastest Overall: Lowest total processing time

2. Open Source: No API costs, runs locally

3. Basic English Recognition: Can handle simple English text

Weaknesses:

1. Very Poor Hindi Recognition: Outputs completely garbled, unreadable text

2. Unreliable Extraction: Even English documents have significant errors

3. Mapping Failures: 25% failure rate due to unusable OCR output

4. Misleading Confidence: Reports 90% confidence despite producing garbage output

5. Format Corruption: Table structures are completely lost

Tesseract is NOT recommended for production use with Indian educational documents. The quality of extraction is severely compromised, especially for:

• Documents with mixed English/Hindi text

• Documents with tabular data

• Handwritten or semi-handwritten documents

Sample Extraction: Abhishek Marksheet (English)

Extracted Text (Tesseract):

| WE
JHARKHAND ACADEMIC COUNCIL, RANCHI
Results of
Annual Secondary Examination - 2024
Roll Code 11163
Roll No. 0048
Student's Name ABHISHEK ORAON
...
vA [oss | ow Jor] a | |
st Joss | 00  Jors| a |
mr [oo [oss [oa a | x |
S0C ii iii] 987.) i 930 1055. Ds ae

Mapped Fields (via Bedrock):

Field	Extracted Value	Accuracy
Student Name	ABHISHEK ORAON	✅ Correct
Roll Number	0048	✅ Correct
Percentage	null	❌ Failed
Grade	null	❌ Failed
Passing Year	null	❌ Failed
School Name	ADIVASI BAL VIKAS HIGH SCHOOL RATU	✅ Correct
Board Name	JHARKHAND ACADEMIC COUNCIL, RANCHI	✅ Correct

Confidence: 90% (misleading) | Processing Time: 3,533 ms

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Sample Extraction: Md. Arsh Marksheet (English)

Extracted Text (Tesseract):

—_——
| -
i 1 ;
| 5 il =
£
H
H
| 8 a E
2 g £
| | E 5 = BX
' 8 o 8y
og « x EE
...

Mapped Fields (via Bedrock):

Field	Extracted Value	Accuracy
Student Name	JOHN DOE	❌ Hallucinated
Roll Number	ABC-123	❌ Hallucinated
Marks	450	❌ Hallucinated
Percentage	90%	❌ Hallucinated
Grade	A	❌ Hallucinated
Passing Year	2022	❌ Hallucinated
School Name	ABC SCHOOL	❌ Hallucinated
Board Name	XYZ BOARD	❌ Hallucinated

The above result shows a critical failure mode: When Tesseract produces unreadable garbage, Bedrock hallucinated completely fake data rather than failing gracefully. This is extremely dangerous for production systems.

Confidence: 90% (extremely misleading) | Processing Time: 4,801 ms

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Sample Extraction: Vishal Kumar Marksheet (Hindi)

OCR Result: Complete failure - Bedrock returned error OCR_BEDROCK_PROCESSING_FAILED

Extracted Text (Tesseract):

RE RI 5 tTD in
[sy 20A5 Classes Vi to Vill
TST FD as | ~20 2,
ALLE TCT OTN, AZ ; a" . TZ 7] ~ 4
fa a. sofa BEAST Tl
| [i —— : rs | . 5 25 Hi sew
LAR EST ' |
@ot....=78797 gp
...

Result: COMPLETE FAILURE - No usable data extracted

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Comparative Performance Summary

Processing Time Comparison

┌─────────────────┬──────────────┬──────────────┬──────────────┐
│ Provider        │ OCR Time     │ Mapping Time │ Total Time   │
├─────────────────┼──────────────┼──────────────┼──────────────┤
│ AWS Textract    │    2,110 ms  │    2,622 ms  │    4,732 ms  │
│ Google Gemini   │    5,817 ms  │    1,570 ms  │    7,386 ms  │
│ Tesseract       │    2,491 ms  │    1,174 ms  │    3,665 ms  │
└─────────────────┴──────────────┴──────────────┴──────────────┘

Success Rate Comparison

┌─────────────────┬─────────────┬──────────────┬─────────────────────┐
│ Provider        │ Success     │ Failures     │ Usable for Mapping  │
├─────────────────┼─────────────┼──────────────┼─────────────────────┤
│ AWS Textract    │   4/4 (100%)│     0        │ English: ✅ Hindi: ❌│
│ Google Gemini   │   4/4 (100%)│     0        │ English: ✅ Hindi: ✅│
│ Tesseract       │   3/4 (75%) │     1        │ English: ⚠️ Hindi: ❌│
└─────────────────┴─────────────┴──────────────┴─────────────────────┘

Provider Suitability by Document Type

Document Type	AWS Textract	Google Gemini	Tesseract
English (Printed)	✅ Best Choice - Fast & accurate	✅ Accurate but slower	⚠️ Unreliable, may corrupt table data
English (Handwritten)	✅ Best Choice - Good recognition	✅ Accurate but slower	❌ Poor quality
Hindi (Printed)	❌ Produces garbled text	✅ Best Choice - Accurate Devanagari	❌ Completely unusable
Hindi (Handwritten)	❌ Cannot process	✅ Best Choice - Handles variations	❌ Complete failure
Mixed Language (Hindi + English)	⚠️ English parts only	✅ Best Choice - Full support	❌ Not recommended

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Decision Framework: When to Use Which OCR

Use AWS Textract When

1

AWS Textract is recommended when documents are primarily in English.

2

Use Textract when processing speed is important (need results within 3–4 seconds).

3

Prefer Textract for documents with clear text.

4

Good for standardized English board marksheets (CBSE English versions).

5

Consider Textract when cost-efficiency is a consideration for high volumes.

Ideal Use Cases:

• CBSE marksheets

• English medium school certificates

• Jharkhand Academic Council (English version)

• ICSE/ISC marksheets

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Use Google Gemini When

1

Documents contain Hindi or regional language text.

2

Accuracy is more important than speed.

3

Documents have mixed language content (Hindi + English).

4

Processing handwritten or semi-formal documents.

5

Need reliable extraction from varied document formats.

6

Production systems where data accuracy is critical.

Ideal Use Cases:

• Bihar Board (Hindi medium) marksheets

• UP Board marksheets

• School-level certificates in Hindi

• Documents with Devanagari script

• Any document where correct regional language extraction is needed

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Avoid Tesseract For

1

Any production deployment.

2

Hindi or regional language documents.

3

Documents with complex layouts or tables.

4

Cases where data accuracy is important.

5

Scenarios where hallucinated data could cause harm.

Limited Use Cases:

• Development/testing environments only

• Simple, high-quality English text images

• Cost-sensitive prototyping (no API costs)

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Final Recommendations

Recommended Configuration

Scenario	OCR Provider	Mapping Provider	Expected Accuracy
English Documents	AWS Textract	Bedrock	95-100%
Hindi Documents	Google Gemini	Bedrock	85-95%
Mixed Language	Google Gemini	Bedrock	80-90%
High Volume (English)	AWS Textract	Bedrock	90-100%

Cost vs Quality Trade-off

Priority	Recommended Approach
Maximum Accuracy	Google Gemini for all documents
Balanced	Language-based routing (Textract for English, Gemini for Hindi)
Speed-Critical	AWS Textract for English

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Appendix: Raw Data Reference

All test data is sourced from: final-mapping-data.json which is generate using the script.

29KB

final-mapping-data.json

Open

Test Metadata

• Total Duration: 64 seconds

• Documents Tested: 4

• Total OCR Calls: 12