BLE Inspector iPhone

BLE inspection tool for iPhone developers and testers to discover devices, enumerate services, read characteristics, and log BLE activities.

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Om dette verktøyet

This tool targets iOS developers, QA engineers, and hardware teams working with Bluetooth Low Energy. It discovers nearby peripherals, enumerates GATT services and characteristics, and captures RSSI and session logs for debugging and optimization. Conceptually, it runs a scan, lists discovered devices, and optionally connects to a device to enumerate its services and characteristics while recording signal quality and timing data. The data can be exported for analysis, sharing with teammates, or trace-based debugging across devices. Benefit is faster root-cause analysis for flaky connections, service mismatches, and beacon deployments. Core differentiators include structured per-device logs, optional service filtering, and export formats that support downstream automation. Typical use cases: validating iOS BLE integration during app development, testing accessory compatibility, and profiling beacon contact times. The tool emphasizes data integrity, reproducibility, and privacy-aware logging. It is especially valuable for teams integrating hardware with iOS apps, where consistent service discovery and RSSI measurements correlate with user experience and reliability.

Hvordan bruke

  1. Provide inputs: set scan_duration, optional target_device_id, and filter_services if needed.
  2. Enable read_characteristics if you require GATT details.
  3. Run scan to discover devices and collect RSSI data.
  4. If needed, connect to a device to enumerate services and characteristics and capture logs.
  5. Review outputs and export logs for analysis or sharing.
How to use bt inspector iphone

Frequently Asked Questions

Finn raske svar

What is the main output of the tool?
The tool produces a structured log containing discovered devices, their RSSI values, the services and characteristics advertised or read, and a session timestamp. Exports can be JSON or text for integration with analysis pipelines.
How accurate is RSSI measurement?
RSSI values are inherently variable and influenced by environment, orientation, and interference. The tool records raw samples and can apply a simple moving average; distance estimates are approximate and intended for relative comparisons rather than precise positioning.
Is logging beacons and beacons data compliant?
Logging beacon and device identifiers should follow privacy guidelines. Prefer anonymized IDs and avoid storing personal data. For regions with strict privacy laws, minimize data collection and provide clear data-retention policies.
Can I export results for automation?
Yes. When log_format is set to JSON, the tool exports a structured JSON payload including device details, services, characteristics, and RSSI history. CSV or plain text formats may be available as alternatives in advanced configurations.

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