Transformer-based HTR for Historical Documents
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Abstract (arXiv)
We apply the TrOCR framework to real-world, historical manuscripts and show that TrOCR per se is a strong model, ideal for transfer learning. TrOCR has been trained on English only, but it can adapt to other languages that use the Latin alphabet fairly easily and with little training material. We compare TrOCR against a SOTA HTR framework (Transkribus) and show that it can beat such systems. This finding is essential since Transkribus performs best when it has access to baseline information, which is not needed at all to fine-tune TrOCR.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 9 of its 17 references that are in the map. First posted on arXiv 21 Mar 2022.
Builds on
9 of 17 references.
References · 9
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Built on by
Citing papers per year: 2022: 2; 2023: 2; 2024: 0; 2025: 4; 2026: 2.
10 papers.
- 2025Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documentscited by 12
- 2025Benchmarking Large Language Models for Handwritten Text Recognitioncited by 11
- 2022Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Imagescited by 5
- 2023A tailored Handwritten-Text-Recognition System for Medieval Latincited by 4
- 2023Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAIcited by 3
- 2025Handwritten Text Recognition of Historical Manuscripts Using Transformer-Based Modelscited by 1
- 2022The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numeriquecited by 0
- 2025Application of deep learning approaches for medieval historical documents transcriptioncited by 0
- 2026Adapting TrOCR for Printed Tigrinya Text Recognition: Word-Aware Loss Weighting for Cross-Script Transfer Learningcited by 0
- 2026ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documentscited by 0
- 2026ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents9 Jul 2026
- 2026Adapting TrOCR for Printed Tigrinya Text Recognition: Word-Aware Loss Weighting for Cross-Script Transfer Learning22 Apr 2026
- 2025Application of deep learning approaches for medieval historical documents transcription21 Dec 2025
- 2025Handwritten Text Recognition of Historical Manuscripts Using Transformer-Based Models15 Aug 2025
- 2025Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents1 Apr 2025
- 2025Benchmarking Large Language Models for Handwritten Text Recognition19 Mar 2025
- 2023Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI13 Oct 2023
- 2023A tailored Handwritten-Text-Recognition System for Medieval Latin18 Aug 2023
- 2022The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique13 Dec 2022
- 2022Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Images11 Dec 2022