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Handwritten Text Recognition

56 papers with code · 13 benchmarks · 14 datasets archive 2025-07-28

AdversarialComputer Vision

Handwritten Text Recognition (HTR) is the task of automatically identifying and transcribing handwritten text from images or scanned documents into machine-readable text. The goal is to develop a system capable of accurately interpreting diverse handwriting styles, accounting for variations in alignment, stroke, spacing, and noise. This task involves detecting handwritten regions within an image, extracting the text content, and converting it into a structured digital format, enabling further search, indexing, or data analysis.

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

13 leaderboard tables shown for this task, 13 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 13 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
IAM (17 rows) DTrOCR 105M DTrOCR: Decoder-only Transformer for Optical Character Recognition code — Compare
LAM(line-level) (6 rows) HTR-VT HTR-VT: Handwritten Text Recognition with Vision Transformer code — Compare
IAM(line-level) (5 rows) TrOCR TrOCR: Transformer-based Optical Character Recognition with... code Syntology ran 0 of 6 samples · 6 unverified Compare
READ2016(line-level) (5 rows) HTR-VT HTR-VT: Handwritten Text Recognition with Vision Transformer code — Compare
Belfort (4 rows) PyLaia (all transcriptions + agreement-based split) Handwritten Text Recognition from Crowdsourced Annotations — — Compare
READ 2016 (2 rows) DAN DAN: a Segmentation-free Document Attention Network for... code — Compare
Bentham (1 row) StackMix+Blots StackMix and Blot Augmentations for Handwritten Text Recognition code — Compare
Digital Peter (1 row) StackMix+Blots StackMix and Blot Augmentations for Handwritten Text Recognition code — Compare
HKR (1 row) StackMix+Blots StackMix and Blot Augmentations for Handwritten Text Recognition code — Compare
IAM-B (1 row) StackMix+Blots StackMix and Blot Augmentations for Handwritten Text Recognition code — Compare
IAM-D (1 row) StackMix+Blots StackMix and Blot Augmentations for Handwritten Text Recognition code — Compare
Saint Gall (1 row) StackMix+Blots StackMix and Blot Augmentations for Handwritten Text Recognition code — Compare
SIMARA (1 row) DAN SIMARA: a database for key-value information extraction from full pages — — Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

14 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 56 papers with code (139 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.

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