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用于图像的 OCR (版本 4.0)
注意
如果要从 PDF、Office 文件或 HTML 文档和文档图像中提取文本，请使用文档智能读取 OCR 模型。 它针对文本密集型数字和扫描的文档进行了优化，并使用异步 API，使智能文档处理方案变得轻松。
OCR 是一种基于机器学习的技术，用于从原始图像和非文档图像（如产品标签、用户生成的图像、屏幕截图、路标和海报等）中提取文本。 Azure AI 视觉 OCR 服务为图像不重文本的轻量级方案提供了快速的同步 API。 这样可将 OCR 嵌入准实时的用户体验中，从而能以较快的运转速度丰富内容理解并跟进用户操作。
什么是 Azure AI 视觉 v4.0 读取 OCR？
新的 Azure AI 视觉图像分析 4.0 REST API 提供了在性能增强的统一同步 API 中从图像中提取打印文本或手写文本的功能，借助该 API，可通过单个 API 操作轻松获取包括 OCR 结果在内的所有图像见解。 读取 OCR 引擎建立在多个深度学习模型的基础之上，这些模型由基于脚本的通用模型支持，以提供全球语言支持。
文本提取示例
以下 JSON 响应说明了在从给定图像中提取文本时图像分析 4.0 API 返回的内容。
{
"modelVersion": "2024-02-01",
"metadata":
{
"width": 1000,
"height": 945
},
"readResult":
{
"blocks":
[
{
"lines":
[
{
"text": "You must be the change you",
"boundingPolygon":
[
{"x":251,"y":265},
{"x":673,"y":260},
{"x":674,"y":308},
{"x":252,"y":318}
],
"words":
[
{"text":"You","boundingPolygon":[{"x":252,"y":267},{"x":307,"y":265},{"x":307,"y":318},{"x":253,"y":318}],"confidence":0.996},
{"text":"must","boundingPolygon":[{"x":318,"y":264},{"x":386,"y":263},{"x":387,"y":316},{"x":319,"y":318}],"confidence":0.99},
{"text":"be","boundingPolygon":[{"x":396,"y":262},{"x":432,"y":262},{"x":432,"y":315},{"x":396,"y":316}],"confidence":0.891},
{"text":"the","boundingPolygon":[{"x":441,"y":262},{"x":503,"y":261},{"x":503,"y":312},{"x":442,"y":314}],"confidence":0.994},
{"text":"change","boundingPolygon":[{"x":513,"y":261},{"x":613,"y":262},{"x":613,"y":306},{"x":513,"y":311}],"confidence":0.99},
{"text":"you","boundingPolygon":[{"x":623,"y":262},{"x":673,"y":263},{"x":673,"y":302},{"x":622,"y":305}],"confidence":0.994}
]
},
{
"text": "wish to see in the world !",
"boundingPolygon":
[
{"x":325,"y":338},
{"x":695,"y":328},
{"x":696,"y":370},
{"x":325,"y":381}
],
"words":
[
{"text":"wish","boundingPolygon":[{"x":325,"y":339},{"x":390,"y":337},{"x":391,"y":380},{"x":326,"y":381}],"confidence":0.992},
{"text":"to","boundingPolygon":[{"x":406,"y":337},{"x":443,"y":335},{"x":443,"y":379},{"x":407,"y":380}],"confidence":0.995},
{"text":"see","boundingPolygon":[{"x":451,"y":335},{"x":494,"y":334},{"x":494,"y":377},{"x":452,"y":379}],"confidence":0.996},
{"text":"in","boundingPolygon":[{"x":502,"y":333},{"x":533,"y":332},{"x":534,"y":376},{"x":503,"y":377}],"confidence":0.996},
{"text":"the","boundingPolygon":[{"x":542,"y":332},{"x":590,"y":331},{"x":590,"y":375},{"x":542,"y":376}],"confidence":0.995},
{"text":"world","boundingPolygon":[{"x":599,"y":331},{"x":664,"y":329},{"x":664,"y":372},{"x":599,"y":374}],"confidence":0.995},
{"text":"!","boundingPolygon":[{"x":672,"y":329},{"x":694,"y":328},{"x":694,"y":371},{"x":672,"y":372}],"confidence":0.957}
]
},
{
"text": "Everything has its beauty , but",
"boundingPolygon":
[
{"x":254,"y":439},
{"x":644,"y":433},
{"x":645,"y":484},
{"x":255,"y":488}
],
"words":
[
{"text":"Everything","boundingPolygon":[{"x":254,"y":442},{"x":379,"y":440},{"x":380,"y":486},{"x":257,"y":488}],"confidence":0.97},
{"text":"has","boundingPolygon":[{"x":388,"y":440},{"x":435,"y":438},{"x":436,"y":485},{"x":389,"y":486}],"confidence":0.965},
{"text":"its","boundingPolygon":[{"x":445,"y":438},{"x":485,"y":437},{"x":486,"y":485},{"x":446,"y":485}],"confidence":0.99},
{"text":"beauty","boundingPolygon":[{"x":495,"y":437},{"x":567,"y":435},{"x":568,"y":485},{"x":496,"y":485}],"confidence":0.685},
{"text":",","boundingPolygon":[{"x":577,"y":435},{"x":583,"y":435},{"x":583,"y":485},{"x":577,"y":485}],"confidence":0.939},
{"text":"but","boundingPolygon":[{"x":589,"y":435},{"x":644,"y":434},{"x":644,"y":485},{"x":589,"y":485}],"confidence":0.628}
]
},
{
"text": "not everyone sees it !",
"boundingPolygon":
[
{"x":363,"y":508},
{"x":658,"y":493},
{"x":659,"y":539},
{"x":364,"y":552}
],
"words":
[
{"text":"not","boundingPolygon":[{"x":363,"y":510},{"x":412,"y":508},{"x":413,"y":548},{"x":365,"y":552}],"confidence":0.989},
{"text":"everyone","boundingPolygon":[{"x":420,"y":507},{"x":521,"y":501},{"x":522,"y":542},{"x":421,"y":548}],"confidence":0.924},
{"text":"sees","boundingPolygon":[{"x":536,"y":501},{"x":588,"y":498},{"x":589,"y":540},{"x":537,"y":542}],"confidence":0.987},
{"text":"it","boundingPolygon":[{"x":597,"y":497},{"x":627,"y":495},{"x":628,"y":540},{"x":598,"y":540}],"confidence":0.995},
{"text":"!","boundingPolygon":[{"x":635,"y":495},{"x":656,"y":494},{"x":657,"y":540},{"x":636,"y":540}],"confidence":0.952}
]
}
]
}
]
}
}
使用 API
文本提取功能是分析图像 API 的一部分。 将 Read 包括在 features 查询参数中。 然后，在获取完整 JSON 响应时，请分析 "readResult" 部分内容的字符串。
后续步骤
按照图像分析快速入门，使用图像分析 4.0 API 从图像中提取文本。