Comparison

HEBI Mobile I/O vs Text Tokenization

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

HEBI Mobile I/O

This application acts as a network device, providing analog and digital feedback, along with inertial measurements for controlling custom robots. It integrates with HEBI APIs and tools, allowing programming in various languages and utilizing ARKit for pose estimation.

Highlights
  • Analog and digital input control
  • Inertial measurement data
  • ARKit 6DOF pose estimation
  • Integration with HEBI APIs
  • Network device functionality
  • Remote command sending
Features
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HEBI Robotics creates components that allow you to create custom robots quickly, and the HEBI APIs enable you to program these robots using your favorite programming language. The HEBI Mobile IO App is another component in this ecosystem; it integrates with HEBI APIs and tools to provide analog and digital inputs that can be used to control these robots. More information about HEBI robotic components can be found at http://hebi.us, and technical documentation for programming robots using these APIs is provided at http://docs.hebi.us. HEBI Mobile IO shows up as a network device that provides analog and digital "feedback" information, similar to the HEBI IO Board, as well as inertial measurements. This feedback can be accessed using the MATLAB, C, C++, and Python APIs for HEBI components, available for download at http://docs.hebi.us. You can also send commands from these APIs to alter the state and configuration of the HEBI Mobile IO app. Additionally, the camera is used in combination with Apple's ARKit technology to provide a full 6DOF pose estimate of the device as it is moved through the world. NOTE: This app is only useful in combination with HEBI APIs and tools, and does not provide utility as a standalone app.

About

Text Tokenization

Features
Read full description

Enumerate the words, sentence, paragraph or document in text strings.

Screenshots

HEBI Mobile I/O2 screens
Text Tokenization1 screens

Verdict

The call

The clearest difference is ads: HEBI Mobile I/O at none against Text Tokenization's shown. Text Tokenization's advantage is update cadence (fortnightly vs every 3 months). On price, in-app purchases, device support and iOS requirement there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

HEBI Mobile I/O ships an update every 3 months, Text Tokenization fortnightly. The most recent releases landed on October 2, 2026 and October 5, 2026 respectively.

Scorecard2 real differences · 8 level
HEBI Mobile I/O versus Text Tokenization: the parameters behind the verdict, then further details
ParameterHEBI Mobile I/OText Tokenization
PriceFreeFree
Rating5.0 (6 ratings) — better—
Positive reviews100.0% of reviews—
Number of ratings6 — better—
Update frequencyEvery 3 monthsFortnightly — better
AdsNo — betterYes
In-app purchasesNoNo
MonetizationFree—
DevicesiPhone, iPad, iPodiPhone, iPad, iPod
Requires iOS15.6 — better15.8.3
Further details — not scored
Size62 MB36 MB
Age rating4+4+
DeveloperHEBI Robotics, Inc.Hideaki Uchikoshi

In-app purchases

None

HEBI Mobile I/O

No in-app purchases

None

Text Tokenization

No in-app purchases

Questions

Is HEBI Mobile I/O free?
HEBI Mobile I/O is free to download, with no in-app purchases.
Is Text Tokenization free?
Text Tokenization is free to download, with no in-app purchases.
Do HEBI Mobile I/O or Text Tokenization have ads?
Text Tokenization shows ads; HEBI Mobile I/O does not.
Which is updated more often, HEBI Mobile I/O or Text Tokenization?
HEBI Mobile I/O ships an update every 3 months, and Text Tokenization fortnightly. Most recently, HEBI Mobile I/O was updated on October 2, 2026 and Text Tokenization on October 5, 2026.

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