照片转换为文本的API允许您将包含文本的图像转换为可以数字处理和分析的结构化数据。其主要功能是自动识别图像中的单词、行和文本块，不仅提供文本内容，还提供每个元素在图像中的确切位置的信息，使用边界框坐标。这使得从文档、护照、发票、表单或任何包含文本的图像中提取数据等任务变得更加便捷。
API识别的每个单词都包含一个置信值，指示识别正确的概率，允许您根据准确性过滤或审核结果。API以层次结构组织信息：文本被分组为块，块包含段落，段落包含行和单个单词。这种结构使得分析复杂文档变得简单，并保持提取文本的上下文。
除了文本转录，API还可以捕获格式信息，例如标点、字母大小写和单词分隔，并可以提供用于文档处理、搜索和自动分析应用的元数据。输出包括标准化坐标（值在0和1之间），表示文本在图像中的位置，使内容的视觉重建或与标记和注释系统的集成成为可能。
该API在需要数字化实体或扫描文档、需要自动化数据输入过程或需要构建文档读取系统以进行审计、身份控制或文档管理的场景中特别有用。它的模块化和详细的方法允许快速提取文本和深入分析，包括验证敏感数据，如姓名、身份证号码和日期，正如在海地护照识别的示例中所见，姓名、日期和代码以层次化和详细的方式提取。
总之，此API结合了光学字符识别、每个单词位置的精确性和层次结构，将图像转换为可靠且可操作的文本数据。
文本提取 - 端点功能
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image_url |
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{"status":true,"text":": AYITI: am PASPO re Py asia Etat oa ta PASSEPORT Aalto! Type ne f : BEB aon HTL 920000018 CHERUBIN Nea! Priam Kote 1 it! Lieu ce reetcceras NIRKA PORT~AU-PRINCE Moun bs reve‘ Rabongate HAITIENNE Oat H M41! Date ds calecance 6 MAI 1962 Fi catyer green! Seer FEMININ Gat peeps » set Dots Senissinn SIVAT) MET PASPO 4 17 DECEMBRE 1992 MSIGNGTURE Ou TITULAIRE amt parno 3 tn Dots Pespirotca 16 DECEMBRE 1997 920000018 SPECIMEN","boxCoordinates":[0.1197110423116615,0.05071315372424723,0.8421052631578947,0.8557844690966719],"blocks":[{"paragraphs":[{"lines":[{"text":"","words":[],"boxCoordinates":[0,0,0,0]}],"boxCoordinates":[0,0,0,0]}],"boxCoordinates":[0,0,0,0]},{"paragraphs":[{"lines":[{"text":"","words":[],"boxCoordinates":[0,0,0,0]}],"boxCoordinates":[0,0,0,0]},{"lines":[{"text":"","words":[],"boxCoordinates":[0,0,0,0]},{"text":": AYITI: am","words":[{"text":":","boxCoordinates":[0.20227038183694532,0.08240887480190175,0.0030959752321981426,0.003169572107765452],"confidence":0.0},{"text":"AYITI:","boxCoordinates":[0.6945304437564499,0.05071315372424723,0.0608875128998968,0.06497622820919176],"confidence":0.0},{"text":"am","boxCoordinates":[0.762641898864809,0.06656101426307448,0.048503611971104234,0.07131537242472266],"confidence":46.0}],"boxCoordinates":[0.20227038183694532,0.05071315372424723,0.608875128998968,0.08716323296354993]},{"text":"PASPO re Py asia Etat","words":[{"text":"PASPO","boxCoordinates":[0.15067079463364294,0.08557844690966719,0.06398348813209494,0.05705229793977813],"confidence":87.0},{"text":"re","boxCoordinates":[0.5479876160990712,0.11727416798732171,0.022703818369453045,0.017432646592709985],"confidence":21.0},{"text":"Py","boxCoordinates":[0.5851393188854489,0.12519809825673534,0.009287925696594427,0.030110935023771792],"confidence":46.0},{"text":"asia","boxCoordinates":[0.608875128998968,0.10935023771790808,0.04953560371517028,0.05229793977812995],"confidence":32.0},{"text":"Etat","boxCoordinates":[0.6656346749226006,0.10935023771790808,0.034055727554179564,0.039619651347068144],"confidence":13.0}],"boxCoordinates":[0.15067079463364294,0.08557844690966719,0.5490196078431373,0.07606973058637084]},{"text":"oa ta","words":[{"text":"oa","boxCoordinates":[0.5954592363261094,0.11410459587955626,0.02476780185758514,0.06497622820919176],"confidence":25.0},{"text":"ta","boxCoordinates":[0.6336429308565531,0.14580031695721077,0.02476780185758514,0.01901743264659271],"confidence":29.0}],"boxCoordinates":[0.5954592363261094,0.11410459587955626,0.0629514963880289,0.06497622820919176]}],"boxCoordinates":[0.15067079463364294,0.05071315372424723,0.6604747162022704,0.12836767036450078]}],"boxCoordinates":[0.15067079463364294,0.05071315372424723,0.6604747162022704,0.12836767036450078]},{"paragraphs":[{"lines":[{"text":"","words":[],"boxCoordinates":[0,0,0,0]}],"boxCoordinates":[0,0,0,0]},{"lines":[{"text":"","words":[],"boxCoordinates":[0,0,0,0]},{"text":"PASSEPORT Aalto! 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curl --location --request POST 'https://zylalabs.com/api/11262/photo+to+text+conversion+api/21265/text+extraction?image_url=https://static-content.regulaforensics.com/Hardware-products/knowledge_hub/glossary_documents/PASSPORT/2l.webp' --header 'Authorization: Bearer YOUR_API_KEY'
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授权
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[必需] 应为 Bearer access_key. 订阅后，请查看上方的"您的 API 访问密钥"。 |
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
文本提取端点返回结构化数据，包括识别的文本、每个单词、行和块的边界框坐标、表明识别准确性的置信度分数以及文本的层次组织（块、段落、行、单词）
响应数据中的关键字段包括“文本”（识别的内容）“坐标”（边界框位置）“置信度”（准确度分数）和“层级”（指示块段落行和单词的结构）
响应数据以层次结构组织，块包含段落，段落包含行，行包含单个单词。这种结构便于提取文本的导航和分析
该端点提供的信息包括识别的文本、其在图像中的位置、每个识别的置信度以及格式细节如标点和大小写，使其适用于各种文档类型
用户可以通过指定图像格式、语言设置和期望的输出结构等参数来定制他们的请求，从而允许根据特定文档类型或要求进行量身定制的提取
数据准确性通过先进的光学字符识别算法得以保持，这些算法包括对每个识别元素的置信评分，使用户能够根据其可靠性过滤结果
典型的用例包括数字化扫描文档 自动化从表单或发票中输入数据 构建用于身份验证或审计目的的文档阅读系统
用户应检查响应中的置信分数；低分可能表示部分或不准确的结果。实施对低置信度条目的审查流程可以帮助确保数据的质量和完整性
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