RunACR is an audio recognition SDK for iOS/Android apps. It captures sound through the phoneβs microphone, matches it against an audio fingerprint database, and returns the audio ID plus the current playback timestamp. It is well suited for synchronizing mobile apps with TV, radio, cinema, or music content. The page also states that live stream support has been available since September 2018, enabling recognition of TV and radio stations.
Its standout feature is offline recognition: the audio fingerprint database is stored on the userβs device, and recognition does not require an internet connection. This makes it suitable for cinemas, exhibitions, and other environments with unstable connectivity. The SDK supports iOS 8+ and Android 4.0.3/API 15+. Databases are generated by uploading MP3 files in the backend. A single database can contain multiple audio segments, with an average size of about 30KB per minute. The official site says databases of around 7 hours of audio can be used easily; larger libraries may slow recognition, so splitting databases or using server-side recognition is recommended. The recognition process includes recording 5 seconds of audio and processing it. On modern phones, processing averages around 0.2 seconds, and total recognition time is usually under 6 seconds.
RunACRβs pricing model is relatively straightforward: creating an audio fingerprint database costs $2.99 per minute. The price does not increase with the number of app users or concurrent recognition requests, which can be cost-effective for large-scale consumer apps. The workflow is to register, obtain an API key, integrate the SDK, upload MP3 files in the backend to generate a database, and then include that database in the app. The page also mentions that iOS, Android, and Web Server source code can be purchased for unlimited project use, but pricing, licensing, and delivery details require email contact. Payment methods are not clearly stated; it only says other options can be discussed.
The main advantages are on-device offline recognition, no server pressure from concurrency, and costs that do not grow with user volume. It is suitable for second-screen interaction, broadcast monitoring, copyright identification, advertising analytics, duplicate video detection, and music recognition for proprietary catalogs. The limitations are also clear: database creation only accepts MP3 files, so other formats must be converted; public API/SDK documentation is limited, with few code examples and little information on privacy compliance, error codes, or production operations; and large-scale audio libraries require additional performance planning.
The page does not provide information on access from mainland China, ICP filing, nodes, or local payment options, so its China access status can only be considered unknown. If a team needs a more mature commercial service or local support, alternatives to compare include ACRCloud, ShazamKit, AudD, and Gracenote. On the open-source side, Chromaprint/AcoustID is worth watching. Overall, RunACR is better suited to development teams that are comfortable discussing commercial terms by email and whose core requirement is offline audio recognition on mobile devices.
β This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on runacr.com official site.
runacr.com is an Unknown Dev Tools provider. TG4G tracks its product information, with monthly pricing from $2.99, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach runacr.com directly.