BMF to TXT Converter

BMF to TXT Conversion Explained

Converting .BMF (Corel Gallery images or IMSI FloorPlan designs) to .TXT extracts readable text data from a binary graphics or CAD file. This conversion discards all visual data, including vectors, raster images, and geometry. Only embedded text strings, metadata, or structural text—such as a Bill of Materials in a floor plan—remain in the final file.

Users convert .BMF to .TXT to extract text for translation, search indexing, or data analysis without needing the original proprietary software. You gain universal readability and a small file size. You lose 100% of the visual layout and graphics. If you need to preserve the image or floor plan layout, this conversion is a bad idea. You should convert to .PDF or .SVG instead.

Typical Tasks and Users

• Archivists: Extracting metadata, titles, or text descriptions from legacy Corel Gallery .BMF files to index them in a modern database.
• Architects and Estimators: Pulling material lists, room labels, or dimension text from IMSI FloorPlan files to calculate costs in a spreadsheet.
• Data Engineers: Automating the extraction of text from binary files to feed into search engines or text analysis tools.
• System Administrators: Recovering text data from corrupted .BMF files when the original software can no longer open them.

Software & Tool Support

• CorelDRAW opens legacy Corel .BMF image files.
• TurboFloorPlan by IMSI Design opens FloorPlan .BMF files.
• Hex editors like HxD or command-line tools like strings (available on Linux and macOS) can force raw text extraction from binary .BMF files.
• Text editors like Notepad++ or VS Code open the resulting .TXT files.

Pros and Cons of the Conversion

• Universal Compatibility (Pro): .TXT opens on any operating system or device without proprietary software.
• Searchability (Pro): Text content becomes instantly indexable by standard search tools and scripts.
• File Size (Pro): File size drops significantly because all binary graphics data is removed.
• Total Visual Loss (Con): All vectors, raster images, and CAD geometry are permanently destroyed.
• Loss of Structure (Con): Text layout, fonts, and spatial relationships are lost. Room labels will no longer align with their respective rooms.
• Encoding Issues (Con): Legacy .BMF files often use older text encodings. If not converted properly to UTF-8, the resulting text may contain garbled characters.

Conversion Difficulties & Why Convert.Guru

The main technical problem when you convert .BMF to .TXT is parsing a proprietary binary format. Text is often fragmented or compressed within the file structure. A simple raw text extraction usually pulls out unreadable binary junk alongside the actual text. Furthermore, some FloorPlan files store text as vector paths rather than actual string data, making extraction impossible without Optical Character Recognition (OCR).

The conversion pipeline requires parsing the specific .BMF header, identifying text blocks or metadata chunks, decoding them from legacy encodings, filtering out binary noise, and outputting clean UTF-8 text.

Convert.Guru handles this parsing automatically. It identifies the .BMF variant, safely extracts readable strings, and discards binary garbage. This provides a clean .TXT file without requiring you to use hex editors or purchase legacy software.

BMF vs. TXT: What is the better choice?

Which format should you choose?

Choose .BMF if you are actively editing a floor plan or vector graphic and need to preserve geometry, layers, and visual fidelity.

Choose .TXT if you only need the raw text content, such as room labels, material lists, or metadata, and you do not have access to the original software.

Avoid this conversion entirely if you want to view the image or floor plan on another device. If visual preservation is your goal, choose a format like .PDF or .PNG.

Conclusion

Converting .BMF to .TXT makes sense only for data extraction, archiving, and text recovery. The biggest limitation is the complete destruction of all visual and geometric data. Convert.Guru provides a reliable, automated way to extract clean text from these proprietary binary files, saving users from dealing with complex command-line tools or expensive legacy software.