Transcribe Speech To Text

Only 6 of the top 10 target keywords rank, with most positioned beyond the top 50 (e.g., voice to text at 99, speech to text at 87). This drags the Keywords Score to 15%. Prioritize moving high‑traffic terms like "transcribe speech to text" (rank 18) into the top 10.

Charts Score is 0% because the app is not ranked in any global or category charts, preventing organic discovery. Achieving a top‑50 position for at least one primary keyword is required to trigger chart eligibility.

With only 375 reviews and a 3.8‑star rating, the app lags behind competitors that typically have >1,000 reviews and >4.2 stars. Low review volume hurts both Quality Score and user trust.

The title currently lacks the high‑traffic keyword "Voice to Text" and the short description omits phrases like "AI transcription". Adding these can improve relevance for 5‑6 high‑traffic terms (traffic 60‑75).

Keywords such as "voice message to text", "video to text", and "ai transcription" have traffic 65‑68 but are not ranked. Include them in the keyword list and monitor performance; they have moderate difficulty (35‑51).

The primary term "transcribe speech to text" already ranks at 18 with traffic 61, showing the app can rank well when relevance aligns. Leverage this by reinforcing related terms in metadata and assets.