Spbm File To Vcf -
As technology evolves, users frequently encounter "data silos" created by obsolete software. The .SPBM file extension, while not universally standardized, is historically recognized as a backup container used by certain series of feature phones and specific PC synchronization suites (often associated with manufacturers like Spreadtrum or various Chinese OEM mobile tools). These files typically contain binary or semi-structured text data representing contact lists, SMS messages, or call logs.
Conversely, the vCard format (.VCF) serves as the de facto standard for electronic business cards and contact data exchange. Defined by RFC 6350 and its predecessors, VCF files are plain text files that are universally compatible with modern operating systems (Android, iOS, Windows) and cloud services (Google Contacts, iCloud). This paper aims to delineate a framework for bridging the gap between these formats, ensuring data longevity.
Converting an SPBM file to VCF might sound like a technical chore, but it is a rescue mission for your valuable data. While the proprietary nature of SPBM files poses a challenge, using dedicated converter software (Method 1) is the fastest and most reliable route.
If direct tools fail, fall back to the database extraction method (Method 2) to get your data into CSV format first.
Final Checklist for Success:
By following this guide, you can break free from legacy backup formats and bring your contact list into the modern, interconnected world of vCards.
Disclaimer: Always scan any third-party conversion tool with antivirus software before installation. For highly sensitive business contacts, consider using offline conversion tools rather than online web converters to prevent data leaks.
SPBM is a binary format used by some older phones (Sony Ericsson, etc.) for contact storage. This script parses the binary structure based on known reverse-engineered specifications.
#!/usr/bin/env python3 """ SPBM to VCF Converter Converts Sony Ericsson SPBM contact files to standard VCF (vCard) format. """import struct import os import sys from datetime import datetime Spbm File To Vcf
def parse_spbm(filename): """Parse SPBM binary file and extract contacts.""" contacts = []
with open(filename, 'rb') as f: data = f.read() if len(data) < 4: print("Error: File too small to be valid SPBM") return contacts # Check header (first 4 bytes often contain record count or version) # Format varies by phone model. Common pattern: 4-byte record count at offset 0 record_count = struct.unpack('<I', data[0:4])[0] # Sanity check: record count should be reasonable if record_count > 500 or record_count == 0: # Try alternate offset (offset 4 or 8) if len(data) > 8: record_count = struct.unpack('<I', data[4:8])[0] if record_count > 500: record_count = struct.unpack('<I', data[8:12])[0] if len(data) > 12 else 0 if record_count > 500 or record_count == 0: print(f"Warning: Unusual record count (record_count), attempting to parse anyway...") record_count = 1 # Try to parse as single contact pos = 0x20 # Skip header, start of contact records (offset varies) for rec_idx in range(record_count): if pos >= len(data): break contact = 'name': '', 'numbers': [], 'emails': [], 'addresses': [] # Try to parse record length (2 bytes at record start) if pos + 2 <= len(data): record_len = struct.unpack('<H', data[pos:pos+2])[0] if record_len == 0 or record_len > 500: record_len = 0x80 # Default record size else: record_len = 0x80 record_end = min(pos + record_len, len(data)) # Parse fields within record field_pos = pos + 4 # Skip record header while field_pos < record_end: if field_pos + 2 > len(data): break # Field type and length field_type = data[field_pos] field_len = data[field_pos + 1] if field_pos + 1 < len(data) else 0 if field_type == 0x00 or field_len == 0: field_pos += 2 continue # Extract field data field_data_start = field_pos + 2 field_data_end = min(field_data_start + field_len, record_end) if field_data_start < len(data): field_data = data[field_data_start:field_data_end] # Remove trailing null bytes and decode try: # SPBM uses UCS-2 (UTF-16BE) or ASCII if field_type in [0x01, 0x02, 0x03, 0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17]: # Text fields - try UCS-2 first if len(field_data) >= 2 and field_data[1] == 0x00: # Looks like UTF-16LE decoded = field_data.decode('utf-16le', errors='ignore') elif len(field_data) >= 2 and field_data[0] == 0x00: # UTF-16BE decoded = field_data.decode('utf-16be', errors='ignore') else: decoded = field_data.decode('latin-1', errors='ignore') decoded = decoded.rstrip('\x00') else: decoded = field_data.decode('latin-1', errors='ignore').rstrip('\x00') except: decoded = field_data.hex() # Parse based on field type # Common field types (varies by phone) if field_type == 0x01: # Name/Full name contact['name'] = decoded elif field_type == 0x02: # First name if not contact['name']: contact['name'] = decoded elif field_type == 0x03: # Last name if contact['name']: contact['name'] = f"decoded contact['name']".strip() else: contact['name'] = decoded elif field_type in [0x10, 0x11, 0x12]: # Phone numbers number = ''.join(c for c in decoded if c.isdigit() or c in '+*#') if number: contact['numbers'].append(number) elif field_type in [0x13, 0x14, 0x15]: # Email addresses if decoded and '@' in decoded: contact['emails'].append(decoded) elif field_type == 0x20: # Address if decoded: contact['addresses'].append(decoded) field_pos += 2 + field_len # Only add if contact has any data if contact['name'] or contact['numbers'] or contact['emails']: contacts.append(contact) pos = record_end return contactsdef write_vcf(contacts, output_file): """Write contacts to VCF file.""" with open(output_file, 'w', encoding='utf-8') as f: f.write("BEGIN:VCARD\r\n") f.write("VERSION:3.0\r\n")
for contact in contacts: # Name if contact['name']: f.write(f"FN:contact['name']\r\n") # Split name parts if possible name_parts = contact['name'].split(maxsplit=1) if len(name_parts) == 2: f.write(f"N:name_parts[1];name_parts[0];;;\r\n") else: f.write(f"N:contact['name'];;;;\r\n") else: f.write(f"N:Unknown;;;;\r\n") f.write(f"FN:Unknown Contact\r\n") # Phone numbers for i, number in enumerate(contact['numbers']): if i == 0: f.write(f"TEL;TYPE=CELL:number\r\n") else: f.write(f"TEL;TYPE=WORK:number\r\n") # Email addresses for email in contact['emails']: f.write(f"EMAIL:email\r\n") # Addresses for addr in contact['addresses']: f.write(f"ADR;TYPE=HOME:;;addr;;;\r\n") f.write("END:VCARD\r\n") f.write("\r\n")def main(): if len(sys.argv) < 2: print("Usage: python spbm_to_vcf.py <input.spbm> [output.vcf]") print("\nConverts Sony Ericsson SPBM contact file to VCF format.") sys.exit(1)
input_file = sys.argv[1] if not os.path.exists(input_file): print(f"Error: File 'input_file' not found.") sys.exit(1) if len(sys.argv) >= 3: output_file = sys.argv[2] else: output_file = os.path.splitext(input_file)[0] + ".vcf" print(f"Parsing input_file...") contacts = parse_spbm(input_file) if not contacts: print("No contacts found or unsupported SPBM format.") print("\nAlternative: Try extracting contacts manually using:") print("1. Use a hex editor to examine the file structure") print("2. Look for readable text (names, numbers)") print("3. Or use phone backup software specific to your device") sys.exit(1) print(f"Found len(contacts) contact(s)") write_vcf(contacts, output_file) print(f"Saved to output_file")
if name == "main": main()
Once raw strings are extracted, they must be mapped to vCard properties.
This stage requires a dictionary or array to temporarily store the parsed data to ensure that, for example, a contact name is correctly associated with its corresponding phone number.
The conversion process necessitates a three-stage pipeline: Extraction, Mapping, and Reconstruction. By following this guide, you can break free