Use Prebuilt Language Models
Use the OCR Model to Detect Text
Detect Text and Entities in Business Cards
Detect Text and Tables
Einstein OCR Model Card
Extract Data from Custom Forms (Beta)
Extract Data from Invoices (Beta)
To return text for a business card, specify a modelId of OCRModel and task parameter of contact. In addition to the text, the model returns the entity type for each text element that it detects.

The cURL call looks like this.
1curl -X POST -H "Authorization: Bearer <TOKEN>" -F sampleLocation="https://www.asianbusinesscards.com/wp-content/uploads/2019/03/chinese-business-card-translation-samples-walmart-890-eng.jpg" -F task="contact" -F modelId="OCRModel" https://api.einstein.ai/v2/vision/ocr
The response looks like this JSON.
1"tag": "OTHER"
2 }
3 },
4 {
5 "probability": 0.9989197,
6 "label": "Director Operations and Logistics",
7 "boundingBox": {
8 "minX": 53,
9 "minY": 105,
10 "maxX": 466,
11 "maxY": 134
12 },
13 "attributes": {
14 "tag": "OTHER",
15 "pageNumber": "1"
16 }
17 },
18 {
19 "probability": 0.9978701,
20 "label": "Randy E. Cornwell",
21 "boundingBox": {
22 "minX": 53,
23 "minY": 73,
24 "maxX": 297,
25 "maxY": 103
26 },
27 "attributes": {
28 "tag": "PERSON",
29 "pageNumber": "1"
30 }
31 },
32 {
33 "probability": 0.99883646,
34 "label": "S-1050-06 Headquarters Building",
35 "boundingBox": {
36 "minX": 55,
37 "minY": 384,
38 "maxX": 467,
39 "maxY": 413
40 },
41 "attributes": {
42 "tag": "OTHER",
43 "pageNumber": "1"
44 }
45 },
46 {
47 "probability": 0.9981871,
48 "label": "Houston TX 77042 USA 2881 CityWest Blvd.",
49 "boundingBox": {
50 "minX": 53,
51 "minY": 416,
52 "maxX": 350,
53 "maxY": 472
54 },
55 "attributes": {
56 "tag": "ADDRESS",
57 "pageNumber": "1"
58 }
59 },
60 {
61 "probability": 0.9984518,
62 "label": "284.575.2884",
63 "boundingBox": {
64 "minX": 547,
65 "minY": 384,
66 "maxX": 820,
67 "maxY": 412
68 },
69 "attributes": {
70 "tag": "PHONE",
71 "pageNumber": "1"
72 }
73 },
74 {
75 "probability": 0.9984518,
76 "label": "phone ",
77 "boundingBox": {
78 "minX": 547,
79 "minY": 384,
80 "maxX": 820,
81 "maxY": 412
82 },
83 "attributes": {
84 "tag": "OTHER",
85 "pageNumber": "1"
86 }
87 },
88 {
89 "probability": 0.9973475,
90 "label": "281.889.0997",
91 "boundingBox": {
92 "minX": 541,
93 "minY": 415,
94 "maxX": 825,
95 "maxY": 439
96 },
97 "attributes": {
98 "tag": "MOBILE_PHONE",
99 "pageNumber": "1"
100 }
101 },
102 {
103 "probability": 0.9973475,
104 "label": "mobile ",
105 "boundingBox": {
106 "minX": 541,
107 "minY": 415,
108 "maxX": 825,
109 "maxY": 439
110 },
111 "attributes": {
112 "tag": "OTHER",
113 "pageNumber": "1"
114 }
115 },
116 {
117 "probability": 0.89205074,
118 "label": "re.comwell@phillips86.com",
119 "boundingBox": {
120 "minX": 478,
121 "minY": 444,
122 "maxX": 782,
123 "maxY": 476
124 },
125 "attributes": {
126 "tag": "EMAIL",
127 "pageNumber": "1"
128 }
129 },
130 {
131 "probability": 0.992919,
132 "label": "Phillips",
133 "boundingBox": {
134 "minX": 692,
135 "minY": 79,
136 "maxX": 780,
137 "maxY": 100
138 },
139 "attributes": {
140 "tag": "OTHER",
141 "pageNumber": "1"
142 }
143 },
144 {
145 "probability": 0.90038645,
146 "label": "66",
147 "boundingBox": {
148 "minX": 693,
149 "minY": 113,
150 "maxX": 777,
151 "maxY": 162
152 },
153 "attributes": {
154 "tag": "OTHER",
155 "pageNumber": "1"
156 }
157 },
158 {
159 "probability": 0.9908977,
160 "label": "Phillips66.com",
161 "boundingBox": {
162 "minX": 53,
163 "minY": 198,
164 "maxX": 238,
165 "maxY": 226
166 },
167 "attributes": {
168 "tag": "WEBSITE",
169 "pageNumber": "1"
170 }
171 },
172 {
173 "probability": 0.89205074,
174 "label": "phillips86",
175 "boundingBox": {
176 "minX": 630,
177 "minY": 444,
178 "maxX": 782,
179 "maxY": 476
180 },
181 "attributes": {
182 "tag": "ORG",
183 "pageNumber": "1"
184 }
185 }
186 ],
187 "object": "predictresponse"
188}