Mobile Data Capture for Hotels & Tourism. 

Offer your guests an unmatched customer experience with a contactless solution for fast, accurate and secure mobile check-ins.

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A Fast & Secure Check-In Solution

Let your guests complete their check-in process in seconds. Mobile data capture is up to 20 times faster than manual entry and improves data quality by eliminating manual errors from your processes.

Anyline mobile check-in solutions are ISO 27001-certified and trusted by premium hotel and travel brands around the world to raise efficiency and take their customer experience to the next level.

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Anyline Benefits

20x Faster Than Manual Data Entry
Collecting data with mobile devices is far more efficient than writing or typing.
Secure & GDPR-compliant
With on-device data processing, all captured data stays safe in your closed system.
Location & Connection Independent
Mobile data capture works offline, allowing users to scan data no matter where they are.
Improved Data Quality
Remove the errors of manual data entry from your check-in processes.
Works on All Smart Devices
Built with versatility in mind, our mobile SDK easily integrates with devices and platforms of your choice.
ISO-Certified Data Protection
Anyline solutions are ISO/IEC 27001-certified, ensuring the highest level of data protection for sensitive information.

Ensure the Safety of Your Guests & Workforce

With health and security having the top priority in today’s world, contactless check-in enables your guests and employees to maintain social distancing, avoid long lines and unnecessary waiting times.

By deploying mobile check-in solutions, you reduce the touchpoints with staff, surfaces, and communal areas and ensure the safety of your guests throughout their stay.

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Frequently Asked Questions

Our mobile SDK extracts information from ID cards, passports, and visas. It works with the two-line standards TD-3 and TD-2 as well as the three-line standards TD-1, MRV-A, and MRV-B

The Universal ID scan mode supports all MRZ documents, PDF417 documents, and supports several European, US and Australian driver licenses as well as European identity cards. 

A full overview is available in our list of supported countries and in our technical documentation.

Our mobile SDK supports the recognition of alphanumeric Latin-based characters. We are working on implementing Arabic, Chinese, Cyrillic, Thai and similar alphabets into our mobile check-in solution in the near future.

Our mobile SDK is natively developed for iOS, Android, and UWP, but our mobile check-in scanner supports common integration frameworks such as Xamarin, Cordova, React Native and Flutter as well. The sample code can be found in our documentation.

You can download and test the SDK directly from our SDK page or take a closer look at our ID scanner demo.

Absolutely, you can combine all of our scanning modules for different use cases and scenarios, as our versatile mobile SDK offers a maximum of flexibility. Feel free to get in contact, in case you have any questions.

Absolutely, please take a look at our product demo for mobile apps and websites/web apps.

We offer our packages on the basis of annual licenses and tailor our solutions individually to the needs of each of our customers. Please get in touch regarding your individual quote.

Yes. Since our mobile SDK does not require an internet connection, and because we do not store any data on ours or third-party servers, it is compliant with the GDPR, DSGVO, APIS and the CCPA.

Furthermore, Anyline has received the ISO/IEC 27001:2013 certification, a globally recognized, international standard for information security.

I am happy to help.

  • Optimize the way you digitize data
  • Accurate & hassle-free mobile scanning solutions
  • Cross-platform support for easy & fast SDK integration

Giuliana Gervasi

Anyline Solution Expert

+43 (0) 1 997 2856
Get in touch

How Clizzz Achieved Contactless Hotel Check-In with Mobile Scanning

Discover how Clizzz is letting their customers complete their own self-check-in at hotels with a contactless solution for mobile data capture.

See how we did it

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