Rayyan vs Can Voice Agents Handle Bilingual Customers? Benchmarking Frontier ASR on Code-Switched Speech: Which Academic Research Tool Is Better for systematic review researchers, voice ai engineers?

Rayyan offers a freemium model with a free tier suitable for smaller research projects, making it accessible to budget-conscious researchers. In contrast, Tool B is open-source and freely available, with no pricing restrictions, though it functions as a research benchmark rather than a software platform. Neither tool provides traditional API access in the conventional sense—Rayyan integrates with databases through its web interface, while Tool B is a published research artifact designed for reference and evaluation rather than programmatic integration.

Rayyan excels as a practical platform for managing systematic literature reviews at scale, with its AI screening capabilities dramatically reducing the time researchers spend manually filtering thousands of academic papers. Tool B provides valuable empirical insights for a specialized use case, offering researchers and developers concrete data on how state-of-the-art speech recognition models perform on code-switched bilingual speech—critical for those building multilingual voice applications.

Pick Rayyan if you're conducting systematic reviews or meta-analyses and need an active screening tool to manage large document collections efficiently. Pick Tool B if you're developing or researching bilingual voice agents and need benchmark data on ASR performance with code-switched speech, or if you're studying multilingual AI challenges.