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Face search API by lenso.ai - what do you need to know?
Lenso.ai is one of the best reverse image search and facial recognition engines on the market. Apart from searching for images directly on the platform, you can also integrate it into your own platform or solution using lenso.ai API.
Best Face Search API | lenso.ai Reverse Image Search
What is included in the face search API from lenso.ai?
Of course, the most important thing you will receive is face search results. But apart from that, you will also be able to:
- run a general reverse image search or copyright image search (detect exact copies of an image)
- check the original URL sources where the image has been published, as well as the image source URL
- see a confidence score for each image result
- review the date when the image was indexed
Besides that, lenso.ai offers additional search parameters that can be added to your API request:
- sort by best/worst match or newest/oldest
- set a date range
- filter by domain (include/exclude a list of domains)
Also, as soon as you become our customer or partner, we are open to adding custom features or solutions that specifically fit your use case.
Implementation of lenso.ai API
Another thing is that the API implementation and the whole onboarding process are very easy and intuitive. Basically, you will have everything you need in your Developer account.
And as soon as you start using the API, you will also have access to usage statistics for better tracking (the API response also includes information on how many requests you have left).
Lenso.ai for Developers | How to integrate Reverse Image Search API into your platform?
Face Search API by lenso.ai for businesses: Top 5 Industries and use cases
1. Law enforcement
Law enforcement is probably one of the best industries and use cases for face search API integration. It can be extremely helpful during ongoing investigations and for gathering new information, especially in cases where there is not much available (but investigators most likely have an image of the person).
Examples of use cases:
- Criminal investigations: finding additional photos of a suspect and discovering potential new leads.
- Suspect background checks: gathering more publicly available information about a person and their online presence.
- Missing person investigations: searching for additional images of a missing person that may help investigators find new leads.
- Border control and security: supporting additional background checks and reviewing potential matches, where legally authorized.
- Reveal unknown individuals: searching for potential matches when investigators only have a photo of a person.
- Connecting different investigations: discovering whether images of the same person appear across different online sources or cases.
- Fraud and identity theft investigations: detecting potentially stolen images or suspicious uses of someone's identity online.
Using facial recognition and reverse image search for public security intelligence
2. OSINT
Another important part of investigations is the whole OSINT industry and the platforms that are emerging all over the internet. OSINT platforms include several different search methods and verification tools, such as name or phone number searches, location searches, and finding connections between different pieces of information.
So, face search can be a great additional feature that will expand the range of available information and bring extra value to a particular OSINT investigation.
Examples of use cases:
- Online background investigations: gathering additional publicly available information about a person based on their photo.
- Fraud and scam investigations: detecting stolen profile photos, fake identities, or suspicious online activity.
- Social media investigations (SOCMINT): discovering additional public profiles or online appearances connected to a particular person.
- Connecting different data sources: combining face search results with name, phone number, location, or other OSINT findings.
- Investigation report generation: automatically including relevant face search results, original URLs, and potential matches in OSINT reports.
AI Face Search in OSINT and Investigations
3. Dating apps (prevent scam protection)
Dating apps are another industry where face search may be extremely useful. One of the main problems with such apps is the lack of proper user verification and the growing number of scams and fraud accounts.
In this situation, Face search API may be a perfect additional verification step, allowing platforms to double-check users, especially since they already need to upload an image to set up a profile picture.
Examples of use cases:
- New user verification: checking whether a user's profile picture appears elsewhere online and finding potential inconsistencies.
- Potential fraud/scam detection: detecting stolen profile photos, fake accounts, and potential catfishing attempts.
- Potential date verification: allowing users to check whether their potential date's photos appear on other websites or under different identities.
Is your match real? Reverse image search a dating profile
4. Copyright protection (leaked image detection and removal)
Online image misuse is a common issue that may affect not only famous people and models but also anyone else. People misuse or illegally reuse someone else's images, logos, brand identity, etc. So, this industry is in great need of solutions such as the reverse face search API (along with the copyright image search API, which is also offered by lenso.ai).
Thanks to such API integration, companies can easily track where their clients' images appear online and take appropriate legal action, including submitting takedown requests.
Examples of use cases:
- Image tracking: checking where clients' images appear online and discovering potential unauthorized use.
- Copyright infringement detection: find illegally copied or reused images and supporting takedown requests.
- Leaked image detection: finding potentially leaked or privately shared photos that have been published online without permission.
- Brand protection: detecting unauthorized use of company logos, brand visuals, and promotional materials.
- Digital identity protection: discovering fake profiles or websites that misuse someone's photos or identity.
- Content creator protection: helping photographers, models, influencers, and other creators track where their work appears online.
- Takedown request management: collecting original source URLs and image matches as supporting information for copyright infringement or privacy-related removal requests.
5. KYC verification (client background check)
KYC verification is applicable to any company that would like to verify a potential client, vendor, employee, or any other business partner. Companies have different KYC standards, and often their legal or compliance teams manually verify each person.
However, this process can be partially automated through different KYC tools, and a face search API can be added to such solutions as an additional verification step.
Examples of use cases:
- Additional step of KYC verification: running a reverse face search on a potential client or business partner to double-check the provided information, compare sources, and identify potential inconsistencies.
- Background checks: finding more publicly available information about a person and cross-checking the provided data.
- Vendor and business partner verification: gathering additional information about potential partners before starting a business relationship
- Automated verification reports: integrating face search results, original source URLs, and confidence scores into existing KYC or background check reports
These are only some of the most popular use cases for face search API integration, but there are many more. You can also check: 10 ways to use a reverse image search API
Author
Julia Mykhailiuk
Marketing Specialist
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