How to Find Songs by Guitar Chord Progressions in 2026

If you know a few chords from a song but not its name, a chord-chart search can turn that fragment into a manageable shortlist. ChordSongs is built for exactly that task: it compares the chords you enter against indexed charts and returns songs that contain the progression. The result is rarely a single name; it is a set of candidates you narrow with what you know. The way you enter the fragment determines how useful that set is.

Start with the chords you know

On ChordSongs, enter the chords you are certain about, in the order you played them. The tool supports charts for guitar, ukulele, piano and other instruments, and it lets you filter by difficulty and progression. A two-chord fragment produces a long list; a four-chord fragment in the correct order produces a much shorter one. Treat each additional correct chord as a filter that removes songs that do not contain it in that position. If you are unsure of a chord, leave it out or mark it as unknown rather than guessing.

Turn audio into a searchable progression

Chord-recognition apps listen to a recording, extract the harmony, and show a progression that you can copy into a chord-chart search. This works best when the audio is clean. A recording with a loud rhythm track, a phone speaker or background noise can return chords that look plausible but do not match what the player fretted. Before using a machine-generated progression as a query, check it against the original song. A clean progression is a stronger constraint than a guessed one.

Fragment matching is a constraint game

Chord search is pattern matching. You supply known positions and values, and the tool returns the songs that satisfy those constraints. The same logic appears in word search. The Danish-language resource DyrKrydsord lets you enter the number of letters and known letters for a Danish animal name, and returns matches sorted into categories such as pattedyr and fugl; the site displays 1131 suggestions across lengths from 2 to 19 letters. Other search tools use the same constraint approach. Find a Grave, for example, accepts ? to replace one letter and * for zero or many letters in name fields, turning a partially remembered surname into a candidate list. Chord search asks the same question of a progression: given these positions and these chord symbols, which songs match?

What to enter first

Begin with the longest chord sequence you can hear confidently, in the order it occurs. If a progression can be played in more than one key, try transposing it before concluding there is no match. Use difficulty filters when you want a beginner-friendly version of the same progression. A song may appear in different charts for different instruments, so checking guitar and ukulele separately can reveal more candidates. Do not start with a single chord; two or three chords in a recognizable order give a search enough structure to be useful.

Verify before you commit

A search result is a hypothesis, not a proof. When a tool returns a song, play the listed chords against the original. Some charts simplify harmony, substitute chords or leave out mid-song modulations. If a match sounds close but not exact, change one uncertain chord to a nearby substitute, or search again without the last chord. The goal is to reduce the fragment until the tool has enough information, then let your ear confirm the rest. A false positive usually means the progression is common, not that the tool is broken.

Practical bottom line

Chord search works best when you feed it what you are sure of, in the right order, and use filters to narrow the result. Start with the known chords, move from audio recognition to a manual search if the recording is noisy, and treat every match as a shortlist to verify. You do not need to remember the whole song; you need to give the search enough structured information to do the matching for you.