OBJECTIVE: Digital surveillance has shown mixed results as supplement to traditional surveillance. Google Trends (GT) has been used for digital surveillance of H1N1, Ebola and MERS. We used GT to correlate the information seeking on COVID-19 with number of tests and cases in India. METHODS: We obtained data on daily tests and cases from WHO, ECDC and covid19india.org. We used a comprehensive search strategy to retrieve GT data on COVID-19 related information-seeking behaviour in India between 1st January and 31st May 2020 in the form of relative search volume (RSV). We used time-lag correlation analysis to assess the temporal relationships between RSV and daily new COVID-19 cases and tests. RESULTS: GT RSV showed high time-lag correlation with both daily reported tests and cases for the terms "COVID 19", "COVID", "social distancing", "soap" and "lockdown" at national level. In five high-burden states, high correlation was observed for these five terms along with "Corona". Peaks in RSV both at national level and high-burden states corresponded with media coverage or government declarations on the ongoing pandemic. CONCLUSION: The correlation observed between GT data and COVID-19 tests/cases in India may be either due to media-coverage induced curiosity or health-seeking.