
Real-Time Lens Data API
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.
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/i/sticker/Danny-de-Vito-Meme-Funny-by-nattdrws/96554839.EJUG5",
            "source": "Redbubble",
            "source_icon": "https://encrypted-tbn1.gstatic.com/favicon-tbn?q=tbn:ANd9GcRCAtmliek36Hrv8AAFeZIgkEoa8OCIVLUnMryiexJzpgNBxoCsvDF5CGtl_lEBN8unV-vClsufIguBCd8xv_Y11KEmGunvRbIgpA6ok37w1DxJSZnTrw",
            "thumbnail": "https://encrypted-tbn0.gstatic.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/dgarza1169/steve/",
            "source": "Pinterest",
            "source_icon": "https://encrypted-tbn0.gstatic.com/favicon-tbn?q=tbn:ANd9GcTQdhYKRbbqgCC_hUKbg1LBwalc5hFvDef04aKtEm4ymk1UmePKJrPlt_LjHvB7Aq1dYoIBbiIJ1NlsjKc5XTus20V-QeQkUPl9ea4gZzUE1nhIYNB2UA",
            "thumbnail": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR1lQTX61F04PAz2yl_U3TtTxFeZ85hSn52VJPu_vmf85hMgxkM"
        },
        {
            "position": 3,
            "title": "Danny DeVito: Movies, TV, and Bio",
            "link": "https://www.amazon.com/prime-video/actor/Danny-DeVito/amzn1.dv.gti.40581e9b-b364-4f5f-8d9e-b35c7e03202b/",
            "source": "Amazon.com",
            "source_icon": "https://encrypted-tbn1.gstatic.com/favicon-tbn?q=tbn:ANd9GcRm4oMDPHDSWBDQhB5-csYIdmVde_ZfnfUYnfzlJJ9w7zjXG34H4SL9TXI2H8XWInsqPagyhBQjtImrHgLv9Bwvw_d2JvfjMfz3ox9yR82MKQ7yrQ",
            "thumbnail": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcTrhAfAiQHOAuoY1L1aKARE4rqcJJj6Fmo-KsxAiyPKyK4J9koL"
        },
        {
            "...": "..."
        }
    ],
    "knowledge_graph": [
        {
            "title": "Danny DeVito",
            "link": "https://www.google.com/search?q=Danny+DeVito&kgmid=/m/0q9kd&hl=en&gl=US",
            "images": [
                {
                    "link": "https://encrypted-tbn1.gstatic.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
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                        },
                        {
                            "word": "on",
                            "box": {
                                "left": 0.012307286,
                                "top": 0.4406133,
                                "width": 0.022988506,
                                "height": 0.036923077
                            }
                        },
                        {
                            "word": "three",
                            "box": {
                                "left": 0.012306778,
                                "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": {
                                "left": 0.012306846,
                                "top": 0.5957857,
                                "width": 0.04789272,
                                "height": 0.036923077
                            }
                        },
                        {
                            "word": ":",
                            "box": {
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                                "top": 0.64367837,
                                "width": 0.007662835,
                                "height": 0.036923077
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                        },
                        {
                            "word": "sender",
                            "box": {
                                "left": 0.01230654,
                                "top": 0.65517265,
                                "width": 0.0651341,
                                "height": 0.036923077
                            }
                        },
                        {
                            "word": ",",
                            "box": {
                                "left": 0.01230759,
                                "top": 0.7164753,
                                "width": 0.0057471264,
                                "height": 0.036923077
                            }
                        },
                        {
                            "word": "message",
                            "box": {
                                "left": 0.012306236,
                                "top": 0.7279696,
                                "width": 0.08237548,
                                "height": 0.036923077
                            }
                        },
                        {
                            "word": ",",
                            "box": {
                                "left": 0.01230759,
                                "top": 0.80842936,
                                "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": ".",
                            "box": {
                                "left": 0.01230759,
                                "top": 0.93103474,
                                "width": 0.0057471264,
                                "height": 0.036923077
                            }
                        }
                    ]
                },
                {
                    "box": {
                        "left": 0.061531607,
                        "top": 0.028735738,
                        "width": 0.9214559,
                        "height": 0.036923077
                    },
                    "words": [
                        {
                            "word": "More",
                            "box": {
                                "left": 0.061538063,
                                "top": 0.028735738,
                                "width": 0.053639848,
                                "height": 0.036923077
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                        },
                        {
                            "word": "complex",
                            "box": {
                                "left": 0.06153786,
                                "top": 0.08429128,
                                "width": 0.08045977,
                                "height": 0.033846155
                            }
                        },
                        {
                            "word": "models",
                            "box": {
                                "left": 0.061537962,
                                "top": 0.16858248,
                                "width": 0.06704981,
                                "height": 0.033846155
                            }
                        },
                        {
                            "word": "add",
                            "box": {
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                                "top": 0.2394637,
                                "width": 0.036398467,
                                "height": 0.033846155
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                        {
                            "word": "a",
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                            "word": "channel",
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                            "word": "used",
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                        {
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                        },
                        {
                            "word": "send",
                            "box": {
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                        {
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                        },
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                        },
                        {
                            "word": "We'll",
                            "box": {
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                                "top": 0.8045978,
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                                "height": 0.033846155
                            }
                        },
                        {
                            "word": "talk",
                            "box": {
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                                "width": 0.036398467,
                                "height": 0.033846155
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                        {
                            "word": "more",
                            "box": {
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                        },
                        {
                            "word": "channels",
                            "box": {
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                                "width": 0.08237548,
                                "height": 0.033846155
                            }
                        },
                        {
                            "word": "later",
                            "box": {
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                        },
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                        },
                        {
                            "word": "Channels",
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                        {
                            "word": "verbal",
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                        {
                            "word": "nonverbal",
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                        {
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                        },
                        {
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                        {
                            "word": "employee",
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            ]
        }
    ],
    "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/HBrB8p0.png",
        "safe_search": "off",
        "limit": 10
    },
    "data": [
        {
            "title": "Danny De Vito Meme Funny pewdiepie Sticker",
            "link": "https://www.redbubble.com/i/sticker/Danny-de-Vito-Meme-Funny-by-nattdrws/96554839.EJUG5",
            "domain": "redbubble.com",
            "logo": "https://encrypted-tbn1.gstatic.com/favicon-tbn?q=tbn:ANd9GcRCAtmliek36Hrv8AAFeZIgkEoa8OCIVLUnMryiexJzpgNBxoCsvDF5CGtl_lEBN8unV-vClsufIguBCd8xv_Y11KEmGunvRbIgpA6ok37w1DxJSZnTrw",
            "date": null,
            "image": "https://encrypted-tbn0.gstatic.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/i/greeting-card/Danny-de-Vito-Meme-Funny-by-nattdrws/96554839.5MT14",
            "domain": "redbubble.com",
            "logo": "https://encrypted-tbn1.gstatic.com/favicon-tbn?q=tbn:ANd9GcRCAtmliek36Hrv8AAFeZIgkEoa8OCIVLUnMryiexJzpgNBxoCsvDF5CGtl_lEBN8unV-vClsufIguBCd8xv_Y11KEmGunvRbIgpA6ok37w1DxJSZnTrw",
            "date": null,
            "image": "https://encrypted-tbn3.gstatic.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/i/magnet/Danny-de-Vito-Meme-Funny-by-nattdrws/96554839.TBCTK",
            "domain": "redbubble.com",
            "logo": "https://encrypted-tbn1.gstatic.com/favicon-tbn?q=tbn:ANd9GcRCAtmliek36Hrv8AAFeZIgkEoa8OCIVLUnMryiexJzpgNBxoCsvDF5CGtl_lEBN8unV-vClsufIguBCd8xv_Y11KEmGunvRbIgpA6ok37w1DxJSZnTrw",
            "date": null,
            "image": "https://encrypted-tbn0.gstatic.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).
Plans and Pricing
If the plans below do not meet your needs, please contact us for a custom pricing plan.
FAQ
Most common questions and answers
What image formats are supported by the Real-Time Lens Data API?
The API supports all common image formats including JPG, JPEG, PNG, WebP, GIF, and BMP.
Do you offer higher tier or higher volume plans?
Yes, please contact us in case you need a higher tier / volume plan and we'll be happy to offer a discounted plan, tailored to your needs.
How can I subscribe to the Real-Time Lens Data API?
The API is available via RapidAPI - to try the API and subscribe, visit our API page on RapidAPI.
How current and up-to-date are the search results?
The API performs searches in real-time using Google Lens, ensuring you get the most current visual matches, OCR results, and knowledge graph insights available.
What is the maximum RPS/QPS (reqeusts/queries per seconds) supported?
We support any rate you may require, in case you need a higher rate than the default ones allowed for the standard plans, please contact us and we'll be happy to increase it for you.
What is the typical API response time?
The API response time typically ranges between 2-6 seconds depending on the image size and complexity of the analysis required.
Related APIs
Explore other APIs often used together with this API that might also be useful for your project.

Real-Time Image Search API
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Reverse Image Search API
Fast and Simple Reverse Image Searches - Find the Source of an Image and Referencing Web Pages in Real-Time, Even When It Was Significantly Modified.
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Real-Time Web Search API
Extremely Fast, Scalable, and Simple Real-Time Web Searches and Google SERP at an Unbeatable Price.
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