图像内容检索API允许您将包含文本的图像转换为可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，使用边界框坐标。这促进了从文档、护照、发票、表单或任何包含文本的图像中提取数据等任务。
API识别的每个单词都有一个置信值，表示识别正确的概率，允许您根据准确性筛选或审核结果。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、大写和单词分隔，并提供适用于文档处理、搜索和自动分析应用的元数据。输出包括归一化坐标（介于0和1之间的值），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特别适用于需要数字化的物理或扫描文档、需要自动化的数据录入过程，或需要建立文档读取系统以进行审计、身份控制或文档管理的场景。其模块化和详细的方法允许快速文本提取和更深入的分析，包括对名称、身份证号和日期等敏感数据的验证，如在海地护照识别的例子中，名称、日期和代码以层次和详细的方式提取。
总之，该API结合了光学字符识别、每个单词位置的精确度和层次结构，将图像转换为可靠且可操作的文本数据。
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/11264/image+content+retrieval+api/21264/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”（识别内容） “坐标”（边界框位置） “置信度”（准确性得分）和“层级”（表示块 段 行 和 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。这种结构使提取文本的导航和分析变得容易
该端点提供的信息包括识别的文本、其在图像中的位置、每个识别的置信度级别，以及诸如标点符号和大写字母等格式详情，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维护，这些算法为每个识别元素提供置信度评分，使用户能够根据其可靠性筛选结果
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评分；低评分可能表示部分或不准确的结果。实施低置信度条目的审核流程可以帮助确保数据质量和完整性
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