適用于映射的 OCR （4.0 版）
注意
若要從 PDF、Office 和 HTML 文件和文件影像擷取文字，請使用文件智慧讀取 OCR 模型，其已針對大量文字數位和掃描文件最佳化，並具有非同步 API，讓您輕鬆地完成智慧文件處理案例。
OCR 傳統上是以機器學習為基礎的技術，用來從產品標籤、使用者產生的影像、螢幕擷取畫面、街道標誌和海報等自然環境和非文件影像擷取文字。 對於數個案例 (例如，不是大量文字的單一影像)，您需要快速、同步的 API 或服務。 這可讓 OCR 內嵌在近乎即時的使用者體驗中，以快速轉身時間豐富內容瞭解和後續使用者動作。
什麼是 電腦視覺 v4.0 讀取 OCR？
全新的電腦視覺影像分析 4.0 REST API 提供在整合效能增強的同步 API 中從影像擷取印刷或手寫文字的能力，讓您輕鬆地在單一 API 作業中取得所有影像深入解析，包括 OCR 結果。 讀取 OCR 引擎建置在通用腳本型模型支援的多個深度學習模型之上，以支援 全域語言。
提示
您可以透過 Azure OpenAI 服務使用 OCR 功能。 GPT-4 Turbo with Vision 模型可讓您與可分析您所共用影像的 AI 助理聊天，而視覺增強選項會使用影像分析來提供 AI 協助更多有關影像的詳細資料（可讀取的文字和物件位置）。 如需詳細資訊，請參閱 GPT-4 Turbo with Vision 快速入門 。
文字擷取範例
下列 JSON 回應說明從指定影像擷取文字時，影像分析 4.0 API 傳回的內容。
{
"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
文字擷取功能是分析影像 API 的一部分。 包含在 Read 功能 查詢參數中 。 然後，當您取得完整的 JSON 回應時，剖析區段內容的 "readResult" 字串。
下一步
遵循影像分析快速入門，以使用影像分析 4.0 API 從影像中擷取文字。