You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/concept-id-document.md
+50-11Lines changed: 50 additions & 11 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -28,6 +28,8 @@ ms.custom: references.regions
28
28
29
29
Identity document (ID) processing involves extraction of data from identity documents whether manually or using OCR based techniques. Examples of identity documents include passports, driver licenses, resident cards, and national identity cards like the social security card in the US. It is an important step in any business process that requires some proof of identity. Examples include customer verification in banks and other financial institutions, mortgage applications, medical visits, claim processing, hospitality industry, and more. Individuals provide some proof of their identity via driver licenses, passports, and other similar documents so that the business can efficiently verify them before providing services and benefits.
30
30
31
+
::: moniker range="form-recog-3.0.0"
32
+
31
33
## Form Recognizer Identity document (ID) model
32
34
33
35
The Form Recognizer Identity document (ID) model combines Optical Character Recognition (OCR) with deep learning models to analyze and extract key information from identity documents: US Drivers Licenses (all 50 states and District of Columbia), international passport biographical pages, US state IDs, social security cards, and permanent resident cards and more. The API analyzes identity documents, extracts key information, and returns a structured JSON data representation.
@@ -36,6 +38,24 @@ The Form Recognizer Identity document (ID) model combines Optical Character Reco
36
38
37
39
:::image type="content" source="media/studio/analyze-drivers-license.png" alt-text="Image of a sample driver's license.":::
38
40
41
+
::: moniker-end
42
+
43
+
::: moniker range="form-recog-2.1.0"
44
+
45
+
## Data extraction
46
+
47
+
The prebuilt IDs service extracts the key values from worldwide passports and U.S. Driver's Licenses and returns them in an organized structured JSON response.
|ID document| <ul><li>English (United States)—en-US (driver's license)</li><li>Biographical pages from international passports</br> (excluding visa and other travel documents)</li><li>English (United States)—en-US (state ID)</li><li>English (United States)—en-US (social security card)</li><li>English (United States)—en-US (permanent resident card)</li></ul></br>|English (United States)—en-US|
139
161
140
-
::: moniker range="form-recog-3.0.0"
141
-
142
162
## Field extractions
143
163
144
164
Below are the fields extracted per document type. The Azure Form Recognizer ID model `prebuilt-idDocument` extracts the below fields in the `documents.*.fields`. It also extracts all the text in the documents, words, lines, and styles that are included in the JSON output in the different sections.
@@ -251,11 +271,7 @@ Below are the fields extracted per document type. The Azure Form Recognizer ID m
251
271
|`LastName`|`string`|Surname|TALBOT|
252
272
|`DateOfIssue`|`date`|Date of issue|08/12/2012|
253
273
254
-
::: moniker-end
255
-
256
-
::: moniker range="form-recog-2.1.0"
257
-
258
-
### ID document field extractions
274
+
### Document type - `idDocument` field extracted
259
275
260
276
|Name| Type | Description | Standardized output|
261
277
|:-----|:----|:----|:----|
@@ -281,11 +297,34 @@ Below are the fields extracted per document type. The Azure Form Recognizer ID m
281
297
| Address | String | Extracted address, address is also parsed to its components - address, city, state, country, zip code ||
282
298
| Region | String | Extracted region, state, province, etc. (Driver's License only) ||
283
299
284
-
### Migration guide and REST API v3.0
300
+
::: moniker-end
285
301
286
-
* Follow our [**Form Recognizer v3.0 migration guide**](v3-migration-guide.md) to learn how to use the v3.0 version in your applications and workflows.
302
+
::: moniker range="form-recog-2.1.0"
303
+
304
+
## Supported document types and locales
305
+
306
+
**Pre-built ID v2.1** extracts key values from worldwide passports, and U.S. Driver's Licenses in the **en-us** locale.
307
+
308
+
## Fields extracted
287
309
288
-
* Explore our [**REST API**](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-08-31/operations/AnalyzeDocument) to learn more about the v3.0 version and new capabilities.
310
+
|Name| Type | Description | Value |
311
+
|:-----|:----|:----|:----|
312
+
| Country | country | Country code compliant with ISO 3166 standard | "USA" |
313
+
| DateOfBirth | date | DOB in YYYY-MM-DD format | "1980-01-01" |
314
+
| DateOfExpiration | date | Expiration date in YYYY-MM-DD format | "2019-05-05" |
| Nationality | country | Country code compliant with ISO 3166 standard | "USA" |
319
+
| Sex | gender | Possible extracted values include "M", "F" and "X" | "F" |
320
+
| MachineReadableZone | object | Extracted Passport MRZ including two lines of 44 characters each | "P<USABROOKS<<JENNIFER<<<<<<<<<<<<<<<<<<<<<<< 3400200135USA8001014F1905054710000307<715816" |
321
+
| DocumentType | string | Document type, for example, Passport, Driver's License | "passport" |
322
+
| Address | string | Extracted address (Driver's License only) | "123 STREET ADDRESS YOUR CITY WA 99999-1234"|
323
+
| Region | string | Extracted region, state, province, etc. (Driver's License only) | "Washington" |
324
+
325
+
### Migration guide
326
+
327
+
* Follow our [**Form Recognizer v3.0 migration guide**](v3-migration-guide.md) to learn how to use the v3.0 version in your applications and workflows.
0 commit comments