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The ML Kit Text Recognition v2 API can recognize text in any Chinese, Devanagari,
Japanese, Korean and Latin character set. The API can also be used to automate
data-entry tasks such as processing credit cards, receipts, and business cards.
Recognize text across various scripts and languages Supports recognizing
text in Chinese, Devanagari, Japanese, Korean and Latin scripts
Analyzes structure of text Supports detection of symbols, elements,
lines and paragraphs
Identify language of text Identifies the language of the recognized text
Real-time recognition Can recognize text in real-time on a wide range of
devices
Text structure
The Text Recognizer segments text into blocks, lines, elements and symbols.
Roughly speaking:
a Block is a contiguous set of text lines, such as a paragraph or
column,
a Line is a contiguous set of words on the same axis, and
an Element is a contiguous set of alphanumeric characters ("word") on the
same axis in most Latin languages, or a word in others
an Symbol is a single alphanumeric character on the
same axis in most Latin languages, or a character in others
The image below highlights examples of each of these in descending order. The
first highlighted block, in cyan, is a Block of text. The second set of
highlighted blocks, in blue, are Lines of text. Finally, the third set of
highlighted blocks, in dark blue, are Words.
For all detected blocks, lines, elements and symbols, the API returns the
bounding boxes, corner points, rotation information, confidence score,
recognized languages and recognized text.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-10 UTC."],[[["\u003cp\u003eThe ML Kit Text Recognition v2 API recognizes text in Chinese, Devanagari, Japanese, Korean, and Latin scripts and can automate data entry for documents like credit cards and receipts.\u003c/p\u003e\n"],["\u003cp\u003eIt analyzes text structure by identifying blocks, lines, elements (words), and symbols, returning bounding boxes, corner points, and confidence scores for each.\u003c/p\u003e\n"],["\u003cp\u003eThe API supports real-time text recognition on various devices and can identify the language of the recognized text.\u003c/p\u003e\n"]]],["The ML Kit Text Recognition v2 API recognizes text in Chinese, Devanagari, Japanese, Korean, and Latin scripts. It analyzes text structure by detecting blocks, lines, elements, and symbols, and identifies the language. The API provides bounding boxes, corner points, rotation, confidence scores, recognized languages, and text for detected text. This API can be used for automating data entry from credit cards, receipts and business cards. It also support real time text recognition.\n"],null,["The ML Kit Text Recognition v2 API can recognize text in any Chinese, Devanagari,\nJapanese, Korean and Latin character set. The API can also be used to automate\ndata-entry tasks such as processing credit cards, receipts, and business cards.\n\n[iOS](/ml-kit/vision/text-recognition/v2/ios)\n[Android](/ml-kit/vision/text-recognition/v2/android)\n\nKey capabilities\n\n- **Recognize text across various scripts and languages** Supports recognizing text in Chinese, Devanagari, Japanese, Korean and Latin scripts\n- **Analyzes structure of text** Supports detection of symbols, elements, lines and paragraphs\n- **Identify language of text** Identifies the language of the recognized text\n- **Real-time recognition** Can recognize text in real-time on a wide range of devices\n\nText structure\n\nThe Text Recognizer segments text into blocks, lines, elements and symbols.\nRoughly speaking:\n\n- a **Block** is a contiguous set of text lines, such as a paragraph or\n column,\n\n- a **Line** is a contiguous set of words on the same axis, and\n\n- an **Element** is a contiguous set of alphanumeric characters (\"word\") on the\n same axis in most Latin languages, or a word in others\n\n- an **Symbol** is a single alphanumeric character on the\n same axis in most Latin languages, or a character in others\n\nThe image below highlights examples of each of these in descending order. The\nfirst highlighted block, in cyan, is a Block of text. The second set of\nhighlighted blocks, in blue, are Lines of text. Finally, the third set of\nhighlighted blocks, in dark blue, are Words.\n\nFor all detected blocks, lines, elements and symbols, the API returns the\nbounding boxes, corner points, rotation information, confidence score,\nrecognized languages and recognized text.\n\nExample results \nPhoto: [Dietmar Rabich](//commons.wikimedia.org/wiki/User:XRay \"User:XRay\"), [Wikimedia Commons](//commons.wikimedia.org/wiki/Main_Page \"Main Page\"), [\"Düsseldorf,\nWege der parlamentarischen Demokratie -- 2015 -- 8123\"](//commons.wikimedia.org/wiki/File:D%C3%BCsseldorf,_Wege_der_parlamentarischen_Demokratie_--_2015_--_8123.jpg), [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)\n\n| Recognized Text ||\n|--------|---------------------------------------|\n| Text | Wege der parlamentarischen Demokratie |\n| Blocks | (1 block) |\n\n| Block 0 ||\n|--------------------------|------------------------------------------------|\n| Text | Wege der parlamentarischen Demokratie |\n| Frame | (296, 665 - 796, 882) |\n| Corner Points | (296, 719), (778, 665), (796, 828), (314, 882) |\n| Recognized Language Code | de |\n| Lines | (3 lines) |\n\n| Line 0 ||\n|--------------------------|------------------------------------------------|\n| Text | Wege der |\n| Frame | (434, 678 - 670, 749) |\n| Corner Points | (434, 705), (665, 678), (670, 722), (439, 749) |\n| Recognized Language Code | de |\n| Confidence Score | 0.8766741 |\n| Rotation Degree | -6.6116457 |\n| Elements | (2 elements) |\n\n| Element 0 ||\n|--------------------------|------------------------------------------------|\n| Text | Wege |\n| Frame | (434, 689 - 575, 749) |\n| Corner Points | (434, 705), (570, 689), (575, 733), (439, 749) |\n| Recognized Language Code | de |\n| Confidence Score | 0.8964844 |\n| Rotation Degree | -6.6116457 |\n| Elements | (4 elements) |\n\n| Symbol 0 ||\n|------------------|------------------------------------------------|\n| Text | W |\n| Frame | (434, 698 - 500, 749) |\n| Corner Points | (434, 706), (495, 698), (500, 741), (439, 749) |\n| Confidence Score | 0.87109375 |\n| Rotation Degree | -6.611646 |"]]
