1Choose your diary file
My diary is not read correctly — what can I do?
This page understands the standard Daily Diary table (Annexure-1) whose columns are numbered 1 to 13. If your file is different, you can ask an AI assistant (Claude, ChatGPT, Gemini) to make the CSV: attach your diary and paste this instruction.
Convert the attached Daily Diary (Annexure-1) into a CSV file. This is an extraction task: every value must come from the file. Do not estimate or invent anything; if something is unclear, ask me. Output exactly these 13 columns, in this order: DepDate,DepHH,DepMM,FromPlace,ArrDate,ArrHH,ArrMM,ToPlace,Distance,Mode,Class,Fare,Duration Rules: - One CSV row per journey row (leg). A row that only has a date is a date header: it sets the date for the legs below it and is not a journey. - DepDate / ArrDate: DD/MM/YYYY. If a journey ends on the next day, use the arrival date written in the diary. - DepHH, DepMM, ArrHH, ArrMM: two digits (08, 05). - FromPlace / ToPlace: place name in English with the station code in brackets, e.g. Chhindwara (CS). Use CS for camp station/office, BS for bus stand, POD for sample point/place of duty, RS for railway station. Keep "Hotel" as part of the name. If there is no code in the diary, add none. - Distance: the km written in the diary. - Mode: in English (Auto, Bus, Rail, Foot, Taxi ...). Use Rail for train. - Class: write General for every row. - Fare: the rupees written in the diary (ignore paise). - Duration: write NA in every row. - Include only journeys for which a fare was paid. Leave out every journey with no fare, and every day on which no fare was paid. - No Hindi text may remain in the CSV. Before giving me the file, check: the number of rows, that no day with a fare is missing, that the Duration column is NA in every row, and tell me about anything doubtful in the diary instead of guessing.