VizScanner: 00000 is Best

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SMART NAMING CONVENTION GUIDE

To get the absolute most out of VizScanner, every file should be manually reviewed initially and named using our specific naming system.

While this requires a crucial initial step of manual review, it is the secret to lightning-fast data retrieval and filtering at a later stage.
VizScanner reads these filenames and automatically builds your dashboard filters based on them.

THE STRUCTURE

Separate each category with an underscore (_).
Example: Quality_Classification_Age_Ethnicity_BodyType_CustomTags.mp4

Here is the exact breakdown of the categories in order:

  1. QUALITY (Ratings)
    Placed at the very front of the filename to easily sort by best-of.
  • 0 = Worst / Unrated
  • 00 = 2 Stars
  • 000 = 3 Stars
  • 0000 = 4 Stars
  • 00000 = 5 Stars (The Best)
  1. CLASSIFICATION (Category)
    Who or what is the main focus of the video?
  • (Leave Blank) = Female (This is the standard/default, no tag needed)
  • male = Male focus
  • group = Group / Three or more crowd
  • landscape = Scenery / B-Roll
  1. AGE The approximate age of the main subject.
  • age18s, age20s, age30s, age40s, age50s, age60s, age70s, etc.
  1. ETHNICITY & PREFERENCE
    The ethnicity of the subject, followed by a number (1 or 2) to indicate your preference/quality of the reference (1 is preferred over 2).
  • cau1 / cau2 = Caucasian
  • azn1 / azn2 = Asian
  • lat1 / lat2 = Latin
  • blk1 / blk2 = Black
  • mid1 / mid2 = Middle Eastern
  • mix1/2 = Mixed Race
  1. BODY TYPE
    The physical build of the subject.
  • bodyN = Normal
  • bodyT = Thin
  • bodyC = Chubby
  • bodyV = Voluptuous
  • bodyA = Athletic (Muscular, toned, etc.)
  • bodyBH = Bottom Heavy
  1. CUSTOM TAGS & SCENE INFO
    After the main categories, add any specific descriptors, camera angles, or studio names. VizScanner will turn these into searchable tags.
  • e.g., povD, handheld, studioName, dancing, closeup

EXAMPLES IN ACTION

Example 1: A highly-rated video of a thin, 20-something Caucasian female dancing in a studio.
Filename: 0000_age20s_cau1_bodyT_dancing_studio.mp4
(Notice there is no classification tag because Female is the default).

Example 2: An average-rated video of an athletic 30-something Asian male working out.
Filename: 000_male_age30s_azn2_bodyA_workout_gym.mp4

Example 3: A top-tier group video featuring a voluptuous Latin actress in her 40s.
Filename: 00000_group_age40s_lat1_bodyV_party_povN.mp4

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By following this exact system, your VizScanner sidebar filters will populate perfectly, allowing you to narrow down a 2TB library to the exact reference you need in 3 clicks.

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