Package: unstructured.paddleocr
English |简体中文|हिन्दी|日本語|한국인|Pу́сский язы́кNote from Maintainer:This is a fork of the PaddleOCR repository, created with the purpose of complying with an Apache license. The original repo contains at least one dependency that is not Apache compliant so this fork was created to remove any non-compliant dependencies.The original documentation at the time of the fork is found below.IntroductionPaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and apply them into practice.📣 Recent updates🔨2022.11 Add implementation of4 cutting-edge algorithms：Text DetectionDRRG,  Text RecognitionRFL, Image Super-ResolutionText Telescope，Handwritten Mathematical Expression RecognitionCAN2022.10 Releaseoptimized JS version PP-OCRv3 modelwith 4.3M model size, 8x faster inference time, and a ready-to-use web demo💥Live Playback: Introduction to PP-StructureV2 optimization strategy. Scanthe QR code belowusing WeChat, follow the PaddlePaddle official account and fill out the questionnaire to join the WeChat group, get the live link and 20G OCR learning materials (including PDF2Word application, 10 models in vertical scenarios, etc.)🔥2022.8.24 Release PaddleOCRrelease/2.6ReleasePP-StructureV2，with functions and performance fully upgraded, adapted to Chinese scenes, and new support forLayout Recoveryandone line command to convert PDF to Word;Layout Analysisoptimization: model storage reduced by 95%, while speed increased by 11 times, and the average CPU time-cost is only 41ms;Table Recognitionoptimization: 3 optimization strategies are designed, and the model accuracy is improved by 6% under comparable time consumption;Key Information Extractionoptimization：a visual-independent model structure is designed, the accuracy of semantic entity recognition is increased by 2.8%, and the accuracy of relation extraction is increased by 9.1%.🔥2022.8 ReleaseOCR scene application collectionRelease9 vertical modelssuch as digital tube, LCD screen, license plate, handwriting recognition model, high-precision SVTR model, etc, covering the main OCR vertical applications in general, manufacturing, finance, and transportation industries.2022.8 Add implementation of8 cutting-edge algorithmsText Detection:FCENet,DB++Text Recognition:ViTSTR,ABINet,VisionLAN,SPIN,RobustScannerTable Recognition:TableMaster2022.5.9 Release PaddleOCRrelease/2.5ReleasePP-OCRv3: With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene is improved by 11%, and the average recognition accuracy of 80 language multilingual models is improved by more than 5%.ReleasePPOCRLabelv2: Add the annotation function for table recognition task, key information extraction task and irregular text image.Release interactive e-book"Dive into OCR", covers the cutting-edge theory and code practice of OCR full stack technology.more🌟 FeaturesPaddleOCR support a variety of cutting-edge algorithms related to OCR, and developed industrial featured models/solutionPP-OCRandPP-Structureon this basis, and get through the whole process of data production, model training, compression, inference and deployment.It is recommended to start with the “quick experience” in the document tutorial⚡ Quick ExperienceWeb online experience for the ultra-lightweight OCR:Online ExperienceMobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Android systems):Sign in to the website to obtain the QR code for  installing the AppOne line of code quick use:Quick Start📚 E-book:Dive Into OCRDive Into OCR👫 CommunityFor international developers, we regardPaddleOCR Discussionsas our international community platform. All ideas and questions can be discussed here in English.For Chinese develops, Scan the QR code below with your Wechat, you can join the official technical discussion group. For richer community content, please refer to中文README, looking forward to your participation.🛠️ PP-OCR Series Model List（Update on September 8th）Model introductionModel nameRecommended sceneDetection modelDirection classifierRecognition modelChinese and English ultra-lightweight PP-OCRv3 model（16.2M）ch_PP-OCRv3_xxMobile & Serverinference model/trained modelinference model/trained modelinference model/trained modelEnglish ultra-lightweight PP-OCRv3 model（13.4M）en_PP-OCRv3_xxMobile & Serverinference model/trained modelinference model/trained modelinference model/trained modelChinese and English ultra-lightweight PP-OCRv2 model（11.6M）ch_PP-OCRv2_xxMobile & Serverinference model/trained modelinference model/trained modelinference model/trained modelChinese and English ultra-lightweight PP-OCR model (9.4M)ch_ppocr_mobile_v2.0_xxMobile & serverinference model/trained modelinference model/trained modelinference model/trained modelChinese and English general PP-OCR model (143.4M)ch_ppocr_server_v2.0_xxServerinference model/trained modelinference model/trained modelinference model/trained modelFor more model downloads (including multiple languages), please refer toPP-OCR series model downloads.For a new language request, please refer toGuideline for new language_requests.For structural document analysis models, please refer toPP-Structure models.📖 TutorialsEnvironment PreparationPP-OCR 🔥Quick StartModel ZooModel trainingText DetectionText RecognitionText Direction ClassificationModel CompressionModel QuantizationModel PruningKnowledge DistillationInference and DeploymentPython InferenceC++ InferenceServingMobilePaddle2ONNXPaddleCloudBenchmarkPP-Structure 🔥Quick StartModel ZooModel trainingLayout AnalysisTable RecognitionKey Information ExtractionInference and DeploymentPython InferenceC++ InferenceServingAcademic AlgorithmsText detectionText recognitionEnd-to-end OCRTable RecognitionKey Information ExtractionAdd New Algorithms to PaddleOCRData Annotation and SynthesisSemi-automatic Annotation Tool: PPOCRLabelData Synthesis Tool: Style-TextOther Data Annotation ToolsOther Data Synthesis ToolsDatasetsGeneral OCR Datasets(Chinese/English)HandWritten_OCR_Datasets(Chinese)Various OCR Datasets(multilingual)Layout AnalysisTable RecognitionKey Information ExtractionCode StructureVisualizationCommunityNew language requestsFAQReferencesLicense👀 VisualizationmorePP-OCRv3 Chinese modelPP-OCRv3 English modelPP-OCRv3 Multilingual modelPP-StructureV2layout analysis + table recognitionSER (Semantic entity recognition)RE (Relation Extraction)🇺🇳 Guideline for New Language RequestsIf you want to request a new language support, a PR with 1 following files are needed：In folderppocr/utils/dict,
it is necessary to submit the dict text to this path and name it with{language}_dict.txtthat contains a list of all characters. Please see the format example from other files in that folder.If your language has unique elements, please tell me in advance within any way, such as useful links, wikipedia and so on.More details, please refer toMultilingual OCR Development Plan.📄 LicenseThis project is released underApache 2.0 license