从图像中提取文本的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。它的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。这有助于从文档、护照、发票、表单或任何包含文本的图像中提取数据等任务。
每个被API识别的单词都有一个置信值，指示识别正确的概率，允许您根据准确性过滤或审查结果。API将信息按层次组织：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容易，并保持提取文本的上下文。
除了文本转录外，API还可以捕获格式信息，例如标点符号、大写字母和单词分隔，并可以提供有助于文档处理、搜索和自动分析应用的元数据。输出包括归一化坐标（值在0到1之间），表示文本在图像中的位置，从而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在需要数字化物理或扫描文档、自动化数据输入过程或建立用于审计、身份控制或文档管理的文档阅读系统的场景中特别有用。它的模块化和详细的方法允许快速提取文本和更深入的分析，包括对示例海地护照识别中的敏感数据（如姓名、身份证号码和日期）的验证，其中姓名、日期和代码以层次化和详细的方式提取。
总之，该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，将图像转换为可靠和可操作的文本数据。
将图像转换为文本，检测单词、行和块，提供坐标、置信度和视觉内容的层次结构
文本提取 - 端点功能
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image_url |
[必需] Enter a image URL |
{"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/11266/retrieve+text+from+images+api/21266/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。
文本提取端点返回的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、表示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”（准确度评分）和“层次结构”（指示块、段落、行和单词的结构）
响应数据按层次结构组织，块包含段落，段落包含行，行包含单个单词。这种结构便于导航和分析提取的文本
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标点和大小写等格式详情，使其适用于各种文档类型
用户可以通过指定参数如图像格式、语言设置和所需输出结构来定制他们的请求，从而根据特定的文档类型或需求实现量身定制的提取
数据准确性通过先进的光学字符识别算法得以保持，这些算法为每个识别的元素提供置信度评分，使用户能够根据其可靠性过滤结果
典型的使用案例包括数字化扫描文档 从表单或发票自动数据录入 以及建立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度分数；低分可能表示部分或不准确的结果。对低置信度条目实施审查过程可以帮助确保数据质量和完整性
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当您订阅 API 免费试用时，您可以进行最多 50 次 API 调用。如果您希望超出此限制进行额外的 API 调用，API 将提示您执行"开始您的付费计划"。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。
付款订单在每月 20 日至 30 日之间处理。如果您在 20 日之前提交请求，您的付款将在此时间范围内处理。
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