Upload / import format diagnostics

Upload file format error, import failed, and unsupported file type troubleshooting

A local workflow for unsupported file type errors, CSV import failures, JSONL line errors, text encoding problems, extension allow-lists, and upload size limits.

Direct answer

When an upload says unsupported file type, invalid format, or import failed, do not fix it by renaming the suffix alone. Check the real file header, extension meaning, and size limit first, then inspect text encoding, CSV delimiter/header/column shape, and whether JSONL contains one valid JSON value per line. Re-export, convert, or compress only after the root mismatch is clear. Chakan runs these checks locally in the browser and does not upload user files, scan for malware, or decide whether a platform should approve the file.

Long-tail searches covered
unsupported file typeinvalid file format troubleshootingupload file type not allowedCSV import failedJSONL line errorfix file encoding mojibakeupload size limit converterfile extension not supported

Common lookup scenarios

Troubleshoot unsupported file type or invalid file format messages

Check CSV import failures caused by delimiter, header, column count, or mojibake

Find the JSONL line that is not valid JSON before dataset import

Confirm extension, real type, and size before uploading images, PDFs, ZIPs, or attachments

Review exports from spreadsheets, databases, BI tools, AI datasets, or ecommerce admin panels

Share a repeatable pre-upload checklist with teammates

Recommended workflow

  1. Use file signature viewer to compare the header, browser MIME, and extension
  2. Use file extension lookup to understand whether the suffix matches the platform allow-list
  3. Convert MB, MiB, GB, and GiB before deciding whether compression or splitting is needed
  4. For text files, check UTF-8, UTF-8 BOM, GB18030, Big5, Shift_JIS, EUC-KR, or Windows-1252 before re-exporting
  5. Preview CSV delimiters, headers, empty columns, row counts, and column consistency before import
  6. Validate JSONL line by line and convert to a JSON array only after errors are fixed; never expose real file content, import logs, or customer data as public result URLs, sitemap entries, or llms.txt examples

Related tool entries

A local workflow for unsupported file type errors, CSV import failures, JSONL line errors, text encoding problems, extension allow-lists, and upload size limits.

FAQ

When an upload says unsupported file type, invalid format, or import failed, do not fix it by renaming the suffix alone. Check the real file header, extension meaning, and size limit first, then inspect text encoding, CSV delimiter/header/column shape, and whether JSONL contains one valid JSON value per line. Re-export, convert, or compress only after the root mismatch is clear. Chakan runs these checks locally in the browser and does not upload user files, scan for malware, or decide whether a platform should approve the file.

Can I fix an unsupported file type by changing the extension?

Usually no. Renaming changes only the suffix. If the real header, encoding, delimiter, or platform allow-list does not match, the import can still fail.

Do these import troubleshooting tools upload my file?

No. Header checks, encoding preview, CSV preview, and JSONL validation are designed to run locally in the browser, and user file content does not become a public result URL.

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