OCR

Artificial Intelligence solution to automate onboarding processes.

Based on Artificial intelligence technology, the OCR solution was developed to receive and analyze any type of image, whether for opening accounts, financing a home, buying or renting vehicles, etc.

Online API that processes, qualifies, typifies and extracts information from images and documents. Based on Artificial Intelligence technology, the OCR solution was developed to receive and analyze any type of image, whether for opening accounts, financing a home, buying and renting vehicles, among others.

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Data typing and extraction

Choose one of the example images below or upload your own files. Within a few seconds, you will have your document adjusted, typified and the data extracted.

EXAMPLE1

DOCUMENT: IDENTITY

Tabela

Json

Tabela

Field	Value	Score
state	FLORIDA	0.99
number_drivers_license	T145438980270	0.93
class	E	0.72
surname	SETH EVON	0.99
given_name	JEVON SMITH	0.99
name	JEVON SMITH	0.99
address	8748 GOLD AVE CITY FL 30350	0.98
birth_date	1998-07-07	1
sex	M	0.99
expiry_date	2026-07-07	0.99
height	600	0.91
restrictions	NONE	0.99
endorsements	NONE	0.84
issue_date	2019-08-21	99%
document_discriminator	F266068518911	0.86%

Json

{
  "result": [
    {
      "fields": [
        {
          "name": "state",
          "value": "FLORIDA",
          "score": 0.99
        },
        {
          "name": "number_drivers_license",
          "value": "T145438980270",
          "score": 0.93
        },
        {
          "name": "class",
          "value": "E",
          "score": 0.72
        },
        {
          "name": "surname",
          "value": "SETH EVON",
          "score": 0.99
        },
        {
          "name": "given_name",
          "value": "JEVON SMITH",
          "score": 0.99
        },
        {
          "name": "name",
          "value": "JEVON SMITH",
          "score": 0.99
        },
        {
          "name": "address",
          "value": "8748 GOLD AVE\nCITY FL 30350",
          "score": 0.98
        },
        {
          "name": "birth_date",
          "value": "1998-07-07",
          "score": 1
        },
        {
          "name": "sex",
          "value": "M",
          "score": 0.99
        },
        {
          "name": "expiry_date",
          "value": "2026-07-07",
          "score": 0.99
        },
        {
          "name": "height",
          "value": "600",
          "score": 0.91
        },
        {
          "name": "restrictions",
          "value": "NONE",
          "score": 0.99
        },
        {
          "name": "endorsements",
          "value": "NONE",
          "score": 0.84
        },
        {
          "name": "issue_date",
          "value": "2019-08-21",
          "score": 0.99
        },
        {
          "name": "document_discriminator",
          "value": "F266068518911",
          "score": 0.86
        }
      ],
      "deskewImage": "",
      "docQuality": null,
      "docQualityScore": 0.97,
      "docType": "identity",
      "pageIndex": 1,
      "tables": [],
      "tags": [
        "identity",
        "us-drivers-license-front-6"
      ]
    }
  ],
  "requestId": "3UIvmnISDkGhR0ivrtjtZ",
  "elapsedMilliseconds": 3590,
  "status": {
    "message": "Success",
    "code": "S100",
    "errors": null
  }
}

Tabela

Json

Tabela

Field	Value	Score
state	NEW YORK STATE	0.99
number_drivers_license	523123123	1
class	D	0.95
surname	SETH EVON	0.99
given_name	STEVEN, JEVON	0.99
name	STEVEN, JEVON	0.99
address	471 GOLD AVE CITY, NY 11023	0.99
sex	M	1
height	6′-10″	0.87
eyes	BLU	0.99
birth_date	1998-07-07	0.99
expiry_date	2027-07-07	0.99
endorsements	NONE	0.99
restrictions	NONE	0.96
issue_date	2018-08-21	0.99

Json

{
  "result": [
    {
      "fields": [
        {
          "name": "state",
          "value": "NEW YORK STATE",
          "score": 0.99
        },
        {
          "name": "number_drivers_license",
          "value": "523123123",
          "score": 1
        },
        {
          "name": "class",
          "value": "D",
          "score": 0.68
        },
        {
          "name": "surname",
          "value": "SETH VON",
          "score": 0.99
        },
        {
          "name": "given_name",
          "value": "STEVEN, JEVON",
          "score": 0.99
        },
        {
          "name": "name",
          "value": "STEVEN, JEVON",
          "score": 0.99
        },
        {
          "name": "address",
          "value": "471 GOLD AVE\nCITY, NY 11023",
          "score": 0.99
        },
        {
          "name": "sex",
          "value": "M",
          "score": 0.99
        },
        {
          "name": "height",
          "value": "6'-10\"",
          "score": 0.87
        },
        {
          "name": "eyes",
          "value": "BLU",
          "score": 0.99
        },
        {
          "name": "birth_date",
          "value": "1998-07-07",
          "score": 0.99
        },
        {
          "name": "expiry_date",
          "value": "2027-07-07",
          "score": 0.99
        },
        {
          "name": "endorsements",
          "value": "NONE",
          "score": 0.99
        },
        {
          "name": "restrictions",
          "value": "NONE",
          "score": 0.96
        },
        {
          "name": "issue_date",
          "value": "2018-08-21",
          "score": 0.99
        }
      ],
      "deskewImage": "",
      "docQuality": null,
      "docQualityScore": 0.98,
      "docType": "identity",
      "pageIndex": 1,
      "tables": [],
      "tags": [
        "identity",
        "us-drivers-license-front-15"
      ]
    }
  ],
  "requestId": "m1Zic23cjEGND2JloazXK",
  "elapsedMilliseconds": 3275,
  "status": {
    "message": "Success",
    "code": "S100",
    "errors": null
  }
}

Tabela

Json

Tabela

Field	Value	Score
state	TEXAS	0.99
number_drivers_license	31231231	1
class	C	0.99
issue_date	2019-08-21	1
expiry_date	2025-07-07	0.99
birth_date	1998-07-07	0.99
surname	SETH VON	0.99
given_name	STEVEN JEVON	0.99
name	STEVEN JEVON	0.99
address	7815 DE PRIEST AVE HOUSTON TX 77088-0000	0.99
restrictions	NONE	0.99
endorsements	NONE	0.99
height	6′-04″	0.94
sex	M	0.99
eyes	BLU	0.81
document_discriminator	49207888254900896305	1

Json

{
  "result": [
    {
      "fields": [
        {
          "name": "state",
          "stdName": null,
          "value": "TEXAS",
          "score": 0.99
        },
        {
          "name": "number_drivers_license",
          "stdName": null,
          "value": "31231231",
          "score": 1
        },
        {
          "name": "class",
          "stdName": null,
          "value": "C",
          "score": 0.99
        },
        {
          "name": "issue_date",
          "stdName": null,
          "value": "2019-08-21",
          "score": 1
        },
        {
          "name": "expiry_date",
          "stdName": null,
          "value": "2025-07-07",
          "score": 0.99
        },
        {
          "name": "birth_date",
          "stdName": null,
          "value": "1998-07-07",
          "score": 0.99
        },
        {
          "name": "surname",
          "stdName": null,
          "value": "SETH VON",
          "score": 0.99
        },
        {
          "name": "given_name",
          "stdName": null,
          "value": "STEVEN JEVON",
          "score": 0.99
        },
        {
          "name": "name",
          "stdName": null,
          "value": "STEVEN JEVON",
          "score": 0.99
        },
        {
          "name": "address",
          "stdName": null,
          "value": "7815 DE PRIEST AVE\nHOUSTON TX 77088-0000",
          "score": 0.99
        },
        {
          "name": "restrictions",
          "stdName": null,
          "value": "NONE",
          "score": 0.99
        },
        {
          "name": "endorsements",
          "stdName": null,
          "value": "NONE",
          "score": 0.99
        },
        {
          "name": "height",
          "stdName": null,
          "value": "6'-04\"",
          "score": 0.94
        },
        {
          "name": "sex",
          "stdName": null,
          "value": "M",
          "score": 0.99
        },
        {
          "name": "eyes",
          "stdName": null,
          "value": "BLU",
          "score": 0.81
        },
        {
          "name": "document_discriminator",
          "stdName": null,
          "value": "49207888254900896305",
          "score": 1
        }
      ],
      "image": "",
      "type": "personal-document",
      "stdType": "personal-document",
      "pageNumber": 1,
      "tags": [
        "country=usa",
        "has=photo",
        "id=usa-drivers-license-front-20",
        "language=en-US",
        "person=natural",
        "process-type=extraction",
        "region=front",
        "std-type=personal-document",
        "subtype=driving-license",
        "subtype=identity",
        "type=personal-document"
      ],
      "score": 0.99,
      "tables": [],
      "processType": "extraction"
    }
  ],
  "requestId": "zSxTYpqEfEyAy8dnmHcs4",
  "elapsedMilliseconds": 3587,
  "status": {
    "message": "Success",
    "code": "S100",
    "errors": null
  }
}

Artificial Intelligence solution to automate registration processes that use documents.

Optimize your processes, reduce costs and fight fraud with the mostQI solution

Online API that processes, qualifies, typifies and extracts information from images and documents. Based on Artificial Intelligence technology, the mostQI solution was developed to receive and analyze any type of image, whether for opening accounts, financing a home, buying and renting vehicles, among others.

Click the button and get a free trial

Data extraction from image

Intelligent Optical Character Recognition – technology developed by MOST. You send a photo of your document* and we do all the rest! We extract data from document images with a high percentage of accuracy. All this is done automatically, in a few seconds.

Quality Analysis

of the images provided

Analysis of the legibility of the document image upon receipt (sharpness, focus, jitter, brightness and shadowness)

Image processing

Automatic by our engine

Correction of document alignment and perspective. Once qualified, the images undergo adjustments that facilitate reading and archiving for future consultations.

Typification

We have more than 2000 types of documents already trained by our neural networks. In addition, we have the possibility to train new types of documents.

GO TO API DOCUMENTATION

Test our solution

WHAT CAN WE DO FOR YOU

Based on Artificial Intelligence technology, mostQI supports digital onboarding processes that involve receiving systems that involve receiving images (documents and Selfies) for any type of business process, which can be financing a home or vehicles, opening accounts, among others. It performs, in real time, the analysis of the quality of the images, correcting the alignment and the perspective for use during the process and subsequent storage, and extracting the information contained therein. The images are sent to a set of neural networks that are responsible for identifying the type of document, locating the information fields and, using iOCR, extracting the data they contain. mostQI has several technological and innovative resources that allow the Solution to guarantee and meet various requirements and legal aspects of compliance , applied to registration processes.