Extract First Names from SMS

@farhanyoussef18

Youssef, Full-Time Python Developer with expertise in data extraction and cleaning. You need first names pulled from SMS messages, placed into a Google Sheet or Excel file with clean spelling and no duplicates. I will parse your provided messages (screenshot, TXT, or CSV) using Python scripts for accurate text extraction. I'll implement logic to isolate sender names, standardize capitalization, and deduplicate the list before outputting to your specified spreadsheet format. I have completed many similar data parsing and formatting projects. What format will the message bundle be in? Ready to start immediately.

@jaunty77

Hi, I can parse a txt export or a csv dump (preferred) with a php-cli script and extract only the first name, without duplicates in a CSV / Excel file. I am Calin and I have experience in parsing csv and text files with php. If you award me the project I can start right away.

@ganeshrasekar

I can do it

@rimiloca

Hi, I can extract only the senders’ first names, normalize capitalization and remove duplicates into a one-column Excel or Google Sheet. I will exclude phone numbers, surnames and message content from the deliverable, and flag ambiguous names for clarification rather than guessing. A TXT or CSV export would make the work quickest, though screenshots are also workable. Approximately how many messages are included, and should identical first names from different senders be merged as a single name? I can confirm the hours after reviewing a small sample.

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi Client, thank you for checking my proposal and sharing the detailed project brief. I can extract the first names from your text messages using efficient data entry techniques with a clean and organized design. I will deliver: • Accurate extraction of first names • Consistent spelling and capitalization • Duplicate elimination • Names formatted in a Google Sheet or Excel file, one per row You will also receive: • A brief report summarizing the process I am confident I can execute your vision professionally and efficiently. Looking forward to discussing the timeline and next steps. Best regards, Chirag Pipal.

@longngoc2307

Perfect Match "FIRST NAMES ONLY FROM SMS" — you need every sender name captured cleanly, with nothing extra or duplicated. I’ll extract only the first name, normalize spelling and capitalization, remove duplicates, and place one name per row in Google Sheets or Excel. For screenshots, I’ll check each message carefully; for TXT or CSV, I can process the data faster and keep the output consistent. How many SMS messages are in the full batch, and which format will you provide? Looking forward to work with you.

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@nexvative

I can accurately extract the sender’s first name from your messages and deliver a clean, deduplicated spreadsheet. I have experience with data extraction, cleaning, validation, and structured spreadsheet work, including large datasets and automated text-processing pipelines. I can work from TXT, CSV, or screenshot bundles and carefully identify only the sender’s first name from each message. I’ll ensure: • First names only — no phone numbers, last names, or extra information • Consistent spelling and capitalization • Duplicate removal • One name per row • Clean Google Sheet or Excel output • Careful handling of edge cases and unclear names For screenshots, I can manually review the messages; for TXT/CSV exports, I can use Python-based processing where appropriate to improve speed and consistency. Before final delivery, I’ll perform a validation pass against the source so the sheet is ready for your spot-check. Send over the message files and I can get started immediately.

@Synet

I understand you need to pull only the sender first names from your text messages and put them into a clean Google Sheet with no duplicates and proper capitalization. I will process your messages, extract just the first names, and format them correctly in a single column so you can easily run your spot check. Since this is about your data, I will do your work first and you only release the milestone after seeing a live demo of your own project. Salma

@SkillCrafts

I can efficiently extract first names from your SMS messages with the same precision and speed demonstrated in extracting specific entities from text data. My approach is designed for accuracy and scalability, ensuring clean, consistent output. My technical plan involves using Python with libraries like `re` for pattern matching and potentially `spaCy` or `NLTK` for more advanced Named Entity Recognition if needed. I’ll develop custom regular expressions to identify common first-name patterns, followed by a deduplication and standardization step to ensure consistent capitalization and zero duplicates in your Google Sheet/Excel output. I'll process your provided message format directly. To ensure optimal results, could you clarify if there are any specific regional or cultural naming conventions I should be aware of? What is the approximate volume of messages you anticipate for this initial project? I'm ready to discuss how I can deliver this data accurately and efficiently.

@bohdan38

Hello, The main challenge is extracting only each SMS sender’s first name while preserving spelling, capitalization, and uniqueness across the complete message collection. I understand that the final sheet must contain one clean name per row and nothing else. I will review the supplied screenshots, TXT export, or CSV, identify the sender names carefully, normalize capitalization consistently, remove duplicates, and perform a second pass against the source before delivery. The result can be provided in Google Sheets or Excel according to your preference. Similar work includes structured data extraction, spreadsheet cleanup, deduplication, and validation from mixed source formats. I focus on careful manual review and clear output so edge cases, incomplete names, and repeated senders are handled consistently. I can begin immediately and complete the first working batch within one day, with the full collection delivered promptly based on its size. The final file will be clean, organized, and ready for your spot-check. Best regards, Bohdan

@nooralneami

Hi! I have experience with accurate data entry, spreadsheet organization, and careful text verification. I can extract only the sender’s first name from each message and organize the results into a clean Excel or Google Sheets file, with one name per row. I’ll make sure: • No last names, phone numbers, or extra details are included • Spelling and capitalization are consistent • Duplicate names are removed • Every message is checked carefully before delivery I’m comfortable working from screenshots, TXT files, or CSV exports and can start right away. I’ll review the final sheet carefully so it’s clean, complete, and ready for your spot-check. Best regards, Noor Shukri

@SoneJ

Hello, I understand that you need a meticulous extraction of first names from your SMS collection for quick data entry. My approach will involve reviewing the provided messages in your preferred format, ensuring accurate identification of each sender's first name, and maintaining a high standard of consistency in spelling and capitalization. To ensure a smooth process, could you clarify which format you'll be providing the messages in? Additionally, do you have a specific deadline in mind for this task? Studio SJ utilizes managed delivery, where I will oversee communication and quality assurance while sourcing any additional specialists if necessary. Please note that we operate on paid fixed-price or hourly engagements, rather than commission-based arrangements. Is that acceptable to you? Looking forward to your response. Sone Joubert Studio SJ

@KurtSiebritz

Consider this ✍️The key managing text messages for extracting names is vital to avoid errors. I understand the importance of ensuring clean spelling and consistent capitalization, accurate data entry. You mentioned needing first names only, with no duplicates. What usually matters most here is having every name captured without any extras included. I have worked on similar data extraction projects where accuracy is critical. So I know the frustration of sorting through unnecessary information. My approach would involve: • Reviewing all messages for sender first names. • I would create a structured Google Sheet for easy access. • I would implement checks to ensure no duplicates exist. • I would clarify any edge cases with you promptly. • I would deliver the final file ready for your review. How do you usually handle edge cases that might arise? Best, Kurt.

@massihm

Hi there, I'll build a Python script to extract first names from your SMS messages with perfect accuracy, handling edge cases like nicknames or typos. It'll use regex patterns and NLP techniques to isolate only the sender's first name, then export a clean CSV/Excel file with one name per row—no duplicates, consistent formatting. The script will include validation to ensure zero extra data (numbers, last names) slips through, and I'll deliver a working prototype within 1 day for your spot-check. Should the parser prioritize strict name dictionary matches or include likely nicknames with manual review flags?

@manishashree12

Hi, Thank you for posting your project. I've thoroughly studied Extract First Names from SMS and I'm prepared to deliver high-quality work within your timeline and budget. My proficiency in Data Processing, Data Entry, Excel, Web Scraping, Data Cleansing, Google Sheets, Data Management, Data Annotation is complemented by strong communication skills and dedication. My professional portfolio highlights case studies that prove consistent delivery of quality work. I'm eager to contribute to the success of Extract First Names from SMS. Feel free to message me with any questions or to get started. Regards, Manisha

@kafupeople

Hi I've handled structured data extraction and spreadsheet cleanup where exact formatting, deduplication and source-by-source checking mattered. I'll extract only each sender's first name from your screenshots, TXT export or CSV, standardize capitalization, remove duplicates, and deliver one clean name per row in Google Sheets or Excel. I’ll keep ambiguous entries separate during processing instead of guessing, then do a final pass against the source so the delivered sheet contains every confirmed name and nothing extra. For deduplication, I’ll compare names case-insensitively so variants like “John” and “john” don't survive as separate rows. Thanks, Belal

@abduls0054

Hi, I understand you need only the sender’s first name extracted from each message and entered into a clean spreadsheet without duplicates or extra information. I’m comfortable with data entry, Excel, Google Sheets, data cleansing, and handling large batches of text carefully. I can work from screenshots, TXT files, or CSV exports, standardize capitalization, check spelling, remove duplicates, and keep one name per row. I’ll also flag unclear names rather than guessing, so the final sheet stays accurate and consistent. One common risk is extracting a name incorrectly from ambiguous messages, so I’ll review those cases separately before finalizing the list. Could you send a small sample of the messages so I can confirm the expected format? Best regards, Abdul Mannan

@jacquelines71

Hello, I hope you're doing well. I can accurately extract first names from SMS screenshots, TXT files, or CSV data and organize them in Google Sheets or Excel. I’ll check spelling, capitalization, and duplicates carefully, then review the final sheet for extra entries. Could we confirm the preferred file format and how edge cases should be handled? Thank you, Kurniati