Bulk Image OCR Renaming Task

@ESOLUTIONSSS

Hello, I'll be glad to assist you with this image remaining project. I can work with you during the next hours to have this done. I will complete this project with 100% accuracy. Click on the "CHAT" button so we will discuss it in detail. I'm always online and available. Please feel free to contact me at any time. I am available 24/7 for support. Best Regards Sandeep

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in data entry, image processing, OCR, and automation. My expertise in Python and data management ensures a seamless workflow for bulk image renaming tasks. I can efficiently handle the OCR-based renaming of 5,000 images by extracting specific keywords accurately using tools like Tesseract-OCR and Python-pytesseract. My approach includes a blend of automated OCR and manual verification to ensure high quality and accuracy in renaming. This project aims to streamline and automate the image renaming process based on equipment details, addressing your need for precision and speed in data processing. My goal is to deliver the fully renamed image set along with a CSV mapping for easy audit within the specified spot-check error rate. If you have any questions, would like to discuss the project in more detail or explore how I can assist further, we can schedule a meeting. Thank you. Maxim

@esraatarekyosef1

‎Hi, I am AI engineer with very wide and strong experience in ML building and fintuning including time series, computer vision, NLP in addition to my experience in backend using python and .Net for generative AI , web scraping and AI integration, I implemented many projects in this feild I also can share some demos with you inbox, what made me sure I can do your task and I am looking forward to working with you

@SquikyYT

Hi, noticed that you are looking for a skilled developer with experience in tesseract ocr. I can help you with that as I have previously worked on projects that used tesseract to detect image details. So I'm sure that with my experience in them I'll be able to complete this project. So let's talk more in DM.

@mdrokibulhasan84

Hi Sir/Madam! Lat's start your work now. This is an easy job for me, I m Md Rokibul from Bangladesh and a professional graphic designer with over 8 years of experience in illustrator and Photoshop. Just award me and send me the message so I 'll do you a sample job. Reviews on the quality of my work you can see in my profile. https://www.freelancer.com/u/mdrokibulhasan84 Thanks, Md Rokibul.

@oleksandrf3

NEVER USE AI FOR BIDDING! Need 5,000 images renamed using text extracted directly from the images, following exact keyword rules, with high accuracy and original-to-new mapping in CSV. I have done precise bulk renaming with OCR plus manual validation for equipment documents before—workflow matches your requirements. Looking forward to discussing more details. Tools: Python, pytesseract, Tesseract-OCR, Adobe Bridge, pandas, manual QA, CSV Location: Can handle requirements for Malaysia client

@eshA0010

As an experienced data specialist, I assure you that my skills and expertise are a perfect fit for your bulk image OCR renaming task. Not only am I fluent in various data entry and processing methods, including those like Tesseract-OCR and Python-pytesseract which you specifically mentioned, but I also have an extensive background in web scraping that will be useful in extracting the textual data accurately from your images. My meticulous approach guarantees an exceptionally low margin of error, which will be essential considering the volume of images to be renamed. Additionally, my proficiency in handling large datasets and creating organized records equips me to create a clear and comprehensive CSV mapping the original image names to the newly renamed ones. I understand that you must have full control over this process, which is why my availability 24/7 through Freelancer Messenger ensures constant communication and quick response time to any queries or requests. Finally, let me reassure you that my priority, like yours, is accuracy. A spot-check error rate above 1% is unacceptable to me as well. Hence, every renamed image will go through both automated OCR process as well as my personal review for any discrepancies. This refined workflow allows me to guarantee a fast turnaround time for the entire batch while maintaining stringent quality control measures. Choose me for a comprehensive solution backed by efficiency and reliability!

@sajjadtypist

Hi there, I can rename all 5,000 images based strictly on text visible inside each image, with accuracy as the top priority. I use a hybrid OCR + manual verification workflow: OCR to extract candidate text using your rule set, followed by a quick human check to ensure the correct phrase is selected when multiple text blocks are present. Each file will be renamed with the required keyword/phrase plus the numeric suffix, and I’ll provide a clean CSV mapping original names to new names for easy auditing. I work in controlled batches to keep error rates below 1% and can rework anything that fails spot checks. Share the rule set and a few sample images, and I’ll confirm turnaround time and start immediately. Best Regards, Sajjad

@melopgabriel

Hello, I’ve carefully reviewed your requirements and understand that accuracy is critical for this task. Renaming 5,000 images based only on text extracted directly from the images (no metadata or external sources) is something I can handle efficiently with a hybrid automated + manual verification workflow to keep the error rate well below 1%. I can start immediately. Best regards, Gabriel

@adinanipavan

Hi, I can accurately rename all 5,000 images based strictly on text that appears inside each image, following your exact keyword/phrase extraction rules and maintaining a very low error rate. Proposed Workflow => Automated OCR using Python with pytesseract (Tesseract OCR) for initial text extraction => Custom parsing logic to locate the required keyword or phrase from multiple text blocks => Manual verification pass on each renamed file to ensure accuracy and rule compliance => Numeric suffix appended exactly as per your specification Accuracy & Quality Control => OCR output validated against visual content before final rename => Double-check process for edge cases (blur, low contrast, rotated text) => Target error rate well below the 1% threshold => Spot-check friendly output with full traceability Deliverables => Fully renamed image set => CSV file mapping original filenames to new filenames for audit => Consistent naming format across the entire batch Tools & Experience => Python, pytesseract, OpenCV for preprocessing if required => Experience handling large image batches and OCR-based workflows => Comfortable combining automation with human verification for quality I can adapt easily to your rule set once shared and follow it strictly throughout the batch. Location is India, but I am comfortable working with Malaysia-based clients and requirements. Happy to explain the workflow in more detail before starting. Regards, Pavan Kumar

@vaibhavs52

I’m a Malaysia-based professional specializing in high-accuracy image data processing and OCR workflows (7+ years experience with similar bulk renaming projects for e-commerce, archival, and industrial clients).

@vitaliis27

⭐⭐⭐⭐⭐ I can handle this with a hybrid OCR + human-verification workflow to keep accuracy safely above your 99% requirement. I’ll use automated OCR (Tesseract / Python) to extract the specified keyword or phrase from each image, then perform a focused manual review to confirm and correct results before renaming. You’ll receive the fully renamed image set plus a clean CSV mapping original filenames to new ones for quick audit. I can complete all 5,000 images within a guaranteed, clearly defined turnaround while maintaining strict quality control and rework-free delivery.

@Ravi0404

I am experienced in image handling, OCR, and structured data work, and I can accurately rename all 5,000 images according to your rules. For each file, I will read the text directly from the image, extract the required keyword or phrase using a mix of Tesseract‑OCR and careful manual verification, then rename the image to that string plus your numeric suffix. I will also maintain a clean CSV that maps original filenames to new ones so you can audit quickly. Accuracy is my top priority: I will keep the error rate well below 1% by double‑checking sampled images in each batch and immediately correcting any issues. I am available to start right away and can deliver steady daily progress updates until the full batch is completed.

@kanchanp1306

Hi, I can accurately rename all 5,000 images by extracting the required text directly from each image using a reliable OCR + manual verification workflow. This ensures high accuracy and keeps the error rate well below 1%. I’ll deliver the fully renamed image set along with a clear CSV mapping old filenames to new ones for easy auditing. I have experience handling large image batches and can commit to a fast, well-controlled turnaround. Happy to share my exact process once you provide the rule set. Ready to start.

@ShahNawazRaza

Hello, I understand this requires extracting text directly from each image and renaming with high accuracy (<1% error). I will handle this with manual review + human verification, not fully automated tools, to ensure correctness. Due to the 5,000 images and accuracy requirement, this will take several days to complete properly. The current budget is quite low for this level of manual work, so I’d like to discuss a fair adjustment. I can provide a sample + CSV mapping before full delivery.

@omgabani23

Hello there, I would take to address this problem is a structured, accuracy-oriented workflow. The initial step of my process would include the use of OCR software such as Tesseract or Python-pytesseract to harvest the text from the images. Using the rule set that you define, I would use my programming skills to isolate the desired word/image from the harvested text. Additionally, a strict verification step would follow automation to ensure that the proper text box is harvested from each image, especially where multiple text areas are involved. Once this is confirmed, I would be able to rename all images with the text that has been extracted, along with the specified numeric suffix, so that a CSV list of original file names to new ones can be created for easy auditing purposes. It is with this OCRed solution that combines computer skills with human intervention that I am able to keep my error rate fixed at less than 1% to efficiently process a high volume of images, such as 5,000 in a batch.

@seenasingh30

Hello, I understand you need to rename 5,000 images based on specific text extracted directly from each image, ensuring high accuracy and a clear mapping for auditing. I will implement a workflow that combines Tesseract-OCR for automated text extraction followed by a manual verification pass. This dual approach minimizes error rates, ensuring I keep well below your 1% threshold. With experience in Python and data processing, I have previously handled large-scale image datasets, successfully renaming and organizing over 10,000 images for another project, leading to a 95% satisfaction rate from my client due to the accuracy and efficiency of the work. I will deliver the renamed image set and a comprehensive CSV mapping original names to new names within 7 days. My availability allows me to start immediately, ensuring a quick turnaround. Could you clarify the specific keyword or phrase rule set you will provide? This will help me tailor my approach effectively. Let’s get this project underway and transform your image files efficiently. Best regards, Seena Singh

@MujeerPython

Do all images have a consistent layout, and will you share the exact keyword/phrase rules before we start? I’ll extract the required text directly from each image using a hybrid workflow: automated OCR (Python + Tesseract, tuned for accuracy) followed by a manual verification pass to catch OCR edge cases. This keeps the error rate well below your 1% threshold. Each image will be renamed exactly per your rule (extracted text + your numeric suffix), and I’ll deliver: ✅ Fully renamed image set ✅ Clean CSV mapping original → new filenames for easy auditing I’ve done similar large batches before, and for 5,000 images I can guarantee high accuracy with a clear, trackable process. Estimated turnaround: 3–4 days after rules and samples are confirmed. Malaysia-based sourcing/format expectations are no problem.

@piyushkrsingh57

Based on your rules, I can build a semi‑automated OCR pipeline (Python + Tesseract) to extract target text, then run a manual verification pass to ensure under 1% error. I will rename all 5,000 images and provide an original→new filename CSV within the agreed turnaround.